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Zha F, Feng C, Xu J, Zou Q, Li J, Hu D, Liu WV, Li Z, Wu S. Evaluation of multiplexed sensitivity encoding diffusion-weighted imaging in detecting uterine lesions: Image quality optimization. Magn Reson Imaging 2024; 110:17-22. [PMID: 38452829 DOI: 10.1016/j.mri.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 03/03/2024] [Accepted: 03/03/2024] [Indexed: 03/09/2024]
Abstract
PURPOSE To compare the image quality of multiplexed sensitivity-encoding diffusion-weighted imaging (MUSE-DWI) and single-shot echo-planar imaging (SS-EPI-DWI) techniques in uterine MRI. METHODS Eighty-eight eligible patients underwent MUSE-DWI and SS-EPI-DWI examinations simultaneously using a 3.0 T MRI system. Two radiologists independently performed quantitative and qualitative analysis of the two groups of images using a double-blind method. The weighted Kappa test was used to evaluate the interobserver agreement. Wilcoxon's rank sum test was used for qualitative parameters, and paired t-test was used for quantitative parameters. Spearman rank correlation analysis was used to obtained correlation between pathological results and mean apparent diffusion coefficient (ADC) value. RESULTS The qualitative and quantitative analysis of the images by the two radiologists were in good or excellent agreement, with weighted kappa value ranging from 0.636 to 0.981. The scores of total subjective image quality (15.4 ± 0.99) and signal-to-noise ratio (158.99 ± 60.71) of MUSE-DWI were significantly higher than those of SS-EPI-DWI (12.93 ± 1.62 P < 0.001; 130.23 ± 48.29 P < 0.05). It effectively reduced image distortion and artifact, and had better lesion conspicuity. There was no significant difference in contrast-to-noise ratio score and average ADC values between the two DWI sequences. The average ADC values of the two DWI sequences were highest in the normal uterus group and lowest in the endometrial cancer group, with statistically significant differences among groups (P < 0.01). In addition, the average ADC values of the two DWI sequences were negatively correlated with the type of lesions, decreasing with the malignancy of the lesions (r = -0.805 P < 0.01, r = -0.815 P < 0.01). CONCLUSION Compared to SS-EPI-DWI, MUSE-DWI can significantly reduce distortion, artifacts, and fuzziness in MRI of uterine lesions, which is more conducive to lesion detection.
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Affiliation(s)
- Fuxiang Zha
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, Hubei, China
| | - Cui Feng
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, Hubei, China
| | - Jin Xu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, Hubei, China
| | - Qian Zou
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, Hubei, China
| | - Jiali Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, Hubei, China
| | - Daoyu Hu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, Hubei, China
| | | | - Zhen Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, Hubei, China
| | - Sisi Wu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan, Hubei, China.
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Ghezzo S, Mapelli P, Samanes Gajate AM, Palmisano A, Cucchiara V, Brembilla G, Bezzi C, Suardi N, Scifo P, Briganti A, De Cobelli F, Chiti A, Esposito A, Picchio M. Diagnostic accuracy of fully hybrid [ 68Ga]Ga-PSMA-11 PET/MRI and [ 68Ga]Ga-RM2 PET/MRI in patients with biochemically recurrent prostate cancer: a prospective single-center phase II clinical trial. Eur J Nucl Med Mol Imaging 2024; 51:907-918. [PMID: 37897615 DOI: 10.1007/s00259-023-06483-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 10/16/2023] [Indexed: 10/30/2023]
Abstract
PURPOSE To compare the diagnostic accuracy and detection rates of PET/MRI with [68Ga]Ga-PSMA-11 and [68Ga]Ga-M2 in patients with biochemical recurrence of prostate cancer (PCa). METHODS Sixty patients were enrolled in this prospective single-center phase II clinical trial from June 2020 to October 2022. Forty-four/60 completed all study examinations and were available at follow-up (median: 22.8 months, range: 6-31.5 months). Two nuclear medicine physicians analyzed PET images and two radiologists interpreted MRI; images were then re-examined to produce an integrated PET/MRI report for both [68Ga]Ga-PSMA-11 and [68Ga]Ga-RM2 examinations. A composite reference standard including histological specimens, response to treatment, and conventional imaging gathered during follow-up was used to validate imaging findings. Detection rates, accuracy, sensitivity, specificity, positive, and negative predictive value were assessed. McNemar's test was used to compare sensitivity and specificity on a per-patient base and detection rate on a per-region base. Prostate bed, locoregional lymph nodes, non-skeletal distant metastases, and bone metastases were considered. p-value significance was defined below the 0.05 level after correction for multiple testing. RESULTS Patients' median age was 69.8 years (interquartile range (IQR): 61.8-75.1) and median PSA level at time of imaging was 0.53 ng/mL (IQR: 0.33-2.04). During follow-up, evidence of recurrence was observed in 31/44 patients. Combining MRI with [68Ga]Ga-PSMA-11 PET and [68Ga]Ga-RM2 PET resulted in sensitivity = 100% and 93.5% and specificity of 69.2% and 69.2%, respectively. When considering the individual imaging modalities, [68Ga]Ga-RM2 PET showed lower sensitivity compared to [68Ga]Ga-PSMA-11 PET and MRI (61.3% vs 83.9% and 87.1%, p = 0.046 and 0.043, respectively), while specificity was comparable among the imaging modalities (100% vs 84.6% and 69.2%, p = 0.479 and 0.134, respectively). CONCLUSION This study brings further evidence on the utility of fully hybrid PET/MRI for disease characterization in patients with biochemically recurrent PCa. Imaging with [68Ga]Ga-PSMA-11 PET showed high sensitivity, while the utility of [68Ga]Ga-RM2 PET in absence of a simultaneous whole-body/multiparametric MRI remains to be determined.
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Affiliation(s)
- Samuele Ghezzo
- Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy
- Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
| | - Paola Mapelli
- Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy
- Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
| | - Ana Maria Samanes Gajate
- Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
| | - Anna Palmisano
- Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy
- Department of Radiology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
| | - Vito Cucchiara
- Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy
- Department of Urology and Division of Experimental Oncology, URI, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
| | - Giorgio Brembilla
- Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy
- Department of Radiology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
| | - Carolina Bezzi
- Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy
- Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
| | - Nazareno Suardi
- IRCCS Ospedale Policlinico San Martino, University of Genoa, Largo Benzi 10, 16132, Genoa, Italy
| | - Paola Scifo
- Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
| | - Alberto Briganti
- Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy
- Department of Urology and Division of Experimental Oncology, URI, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
| | - Francesco De Cobelli
- Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy
- Department of Radiology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
| | - Arturo Chiti
- Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy
- Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
| | - Antonio Esposito
- Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy
- Department of Radiology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy
| | - Maria Picchio
- Vita-Salute San Raffaele University, Via Olgettina 58, 20132, Milan, Italy.
- Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132, Milan, Italy.
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Wu Q, Lou J, Liu J, Dong L, Wu Q, Wu Y, Yu X, Wang M. Performance of node reporting and data system (node-RADS): a preliminary study in cervical cancer. BMC Med Imaging 2024; 24:28. [PMID: 38279127 PMCID: PMC10811875 DOI: 10.1186/s12880-024-01205-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 01/18/2024] [Indexed: 01/28/2024] Open
Abstract
BACKGROUND Node Reporting and Data System (Node-RADS) was proposed and can be applied to lymph nodes (LNs) across all anatomical sites. This study aimed to investigate the diagnostic performance of Node-RADS in cervical cancer patients. METHODS A total of 81 cervical cancer patients treated with radical hysterectomy and LN dissection were retrospectively enrolled. Node-RADS evaluations were performed by two radiologists on preoperative MRI scans for all patients, both at the LN level and patient level. Chi-square and Fisher's exact tests were employed to evaluate the distribution differences in size and configuration between patients with and without LN metastasis (LNM) in various regions. The receiver operating characteristic (ROC) and the area under the curve (AUC) were used to explore the diagnostic performance of the Node-RADS score for LNM. RESULTS The rates of LNM in the para-aortic, common iliac, internal iliac, external iliac, and inguinal regions were 7.4%, 9.3%, 19.8%, 21.0%, and 2.5%, respectively. At the patient level, as the NODE-RADS score increased, the rate of LNM also increased, with rates of 26.1%, 29.2%, 42.9%, 80.0%, and 90.9% for Node-RADS scores 1, 2, 3, 4, and 5, respectively. At the patient level, the AUCs for Node-RADS scores > 1, >2, > 3, and > 4 were 0.632, 0.752, 0.763, and 0.726, respectively. Both at the patient level and LN level, a Node-RADS score > 3 could be considered the optimal cut-off value with the best AUC and accuracy. CONCLUSIONS Node-RADS is effective in predicting LNM for scores 4 to 5. However, the proportions of LNM were more than 25% at the patient level for scores 1 and 2, which does not align with the expected very low and low probability of LNM for these scores.
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Affiliation(s)
- Qingxia Wu
- Department of Medical Imaging, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, No. 7 Weiwu Road, Zhengzhou, Henan, 450003, China
| | - Jianghua Lou
- Department of Medical Imaging, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, No. 7 Weiwu Road, Zhengzhou, Henan, 450003, China
| | - Jinjin Liu
- Department of Medical Imaging, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, No. 7 Weiwu Road, Zhengzhou, Henan, 450003, China
| | - Linxiao Dong
- Department of Medical Imaging, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, No. 7 Weiwu Road, Zhengzhou, Henan, 450003, China
| | - Qingxia Wu
- Beijing United Imaging Research Institute of Intelligent Imaging, United Imaging Intelligence (Beijing) Co., Ltd., Beijing, 100089, China
| | - Yaping Wu
- Department of Medical Imaging, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, No. 7 Weiwu Road, Zhengzhou, Henan, 450003, China
| | - Xuan Yu
- Department of Medical Imaging, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, No. 7 Weiwu Road, Zhengzhou, Henan, 450003, China
| | - Meiyun Wang
- Department of Medical Imaging, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, No. 7 Weiwu Road, Zhengzhou, Henan, 450003, China.
- Laboratory of Brain Science and Brain-Like Intelligence Technology, Biomedical Research Institute, Henan Academy of Sciences, No. 266-38, Mingli Road, Zhengzhou, Henan, 450046, China.
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Switlyk MD, Hopland A, Reitan E, Sivanesan S, Brennhovd B, Axcrona U, Hole KH. Multiparametric Magnetic Resonance Imaging of Penile Cancer: A Pictorial Review. Cancers (Basel) 2023; 15:5324. [PMID: 38001583 PMCID: PMC10670261 DOI: 10.3390/cancers15225324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 11/03/2023] [Accepted: 11/06/2023] [Indexed: 11/26/2023] Open
Abstract
The role of multiparametric magnetic resonance imaging (mpMRI) in assessing penile cancer is not well defined. However, this modality may be successfully applied for preoperative staging and patient selection; postoperative local and regional surveillance; and assessments of treatment response after oncological therapies. Previous studies have been mostly limited to a few small series evaluating the accuracy of MRI for the preoperative staging of penile cancer. This review discusses the principles of non-erectile mpMRI, including functional techniques and their applications in evaluating the male genital region, along with clinical protocols and technical considerations. The latest clinical classifications and guidelines are reviewed, focusing on imaging recommendations and discussing potential gaps and disadvantages. The development of functional MRI techniques and the extraction of quantitative parameters from these sequences enables the noninvasive assessment of phenotypic and genotypic tumor characteristics. The applications of advanced techniques in penile MRI are yet to be defined. There is a need for prospective trials and feasible multicenter trials due to the rarity of the disease, highlighting the importance of minimum technical requirements for MRI protocols, particularly image resolution, and finally determining the role of mpMRI in the assessment of penile cancer.
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Affiliation(s)
- Marta D. Switlyk
- Department of Radiology, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway; (E.R.); (K.H.H.)
| | - Andreas Hopland
- Department of Urology, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway; (A.H.); (S.S.); (B.B.)
| | - Edmund Reitan
- Department of Radiology, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway; (E.R.); (K.H.H.)
| | - Shivanthe Sivanesan
- Department of Urology, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway; (A.H.); (S.S.); (B.B.)
- Institute of Clinical Medicine (KlinMED), Faculty of Medicine, University of Oslo, 0318 Oslo, Norway
| | - Bjørn Brennhovd
- Department of Urology, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway; (A.H.); (S.S.); (B.B.)
| | - Ulrika Axcrona
- Department of Pathology, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway;
| | - Knut H. Hole
- Department of Radiology, The Norwegian Radium Hospital, Oslo University Hospital, 0379 Oslo, Norway; (E.R.); (K.H.H.)
- Institute of Clinical Medicine (KlinMED), Faculty of Medicine, University of Oslo, 0318 Oslo, Norway
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Handke AE, Ritter M, Albers P, Noldus J, Radtke JP, Krausewitz P. [Prostate cancer-multiparametric MRI and alternative approaches in intervention and therapy planning]. UROLOGIE (HEIDELBERG, GERMANY) 2023; 62:1160-1168. [PMID: 37666944 DOI: 10.1007/s00120-023-02190-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/10/2023] [Indexed: 09/06/2023]
Abstract
BACKGROUND In recent years, multiparametric magnetic resonance imaging (mpMRI) of the prostate has gained importance and plays a crucial role in both personalized diagnostics and increasingly in the treatment planning for patients with prostate cancer. OBJECTIVE The aim of this study is to present established and innovative applications of MRI in the diagnosis and treatment of localized prostate cancer, evaluating their strengths and weaknesses. Furthermore, it will explore alternative approaches and compare them in a comprehensive manner. MATERIALS AND METHODS A systematic literature review on the application of mpMRI for biopsy and therapy planning was conducted. RESULTS The integration of modern imaging techniques, especially mpMRI, into the diagnostic algorithm has revolutionized prostate cancer diagnosis. MRI and MRI-guided biopsy detect more significant prostate cancer, with the potential to reduce unnecessary biopsies and the diagnosis of clinically insignificant carcinomas. In addition, MRI provides crucial information for risk stratification and treatment planning in prostate cancer patients, both before radical prostatectomy and during active surveillance. CONCLUSION Multiparametric MRI offers significant added value for the diagnosis and treatment of localized prostate cancer. The advancement of MRI analysis, such as the implementation of artificial intelligence algorithms, holds the potential for further enhancing imaging diagnostics.
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Affiliation(s)
- Analena Elisa Handke
- Marienhospital Herne, Universitätsklinikum, Ruhr-Universität Bochum, Herne, Deutschland
| | - Manuel Ritter
- Klinik und Poliklinik für Urologie und Kinderurologie, Universitätsklinikum Bonn, Venusberg-Campus 1, 53127, Bonn, Deutschland
| | - Peter Albers
- Klinik für Urologie, Medizinische Fakultät, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland
- Abteilung für Personalisierte Früherkennung des Prostatakarzinoms, Deutsches Krebsforschungszentrum (dkfz), Heidelberg, Deutschland
| | - Joachim Noldus
- Marienhospital Herne, Universitätsklinikum, Ruhr-Universität Bochum, Herne, Deutschland
| | - Jan Philipp Radtke
- Klinik für Urologie, Medizinische Fakultät, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland
- Abteilung für Personalisierte Früherkennung des Prostatakarzinoms, Deutsches Krebsforschungszentrum (dkfz), Heidelberg, Deutschland
- Abteilung Radiologie, Deutsches Krebsforschungszentrum (dkfz), Heidelberg, Deutschland
| | - Philipp Krausewitz
- Klinik und Poliklinik für Urologie und Kinderurologie, Universitätsklinikum Bonn, Venusberg-Campus 1, 53127, Bonn, Deutschland.
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Nakamoto A, Onishi H, Tsuboyama T, Fukui H, Ota T, Yano K, Kiso K, Honda T, Tarewaki H, Koyama Y, Tatsumi M, Tomiyama N. High-resolution Diffusion-weighted Imaging of the Prostate Using Multiplexed Sensitivity-encoding: Comparison with the Conventional and Reduced Field-of-view Techniques. Magn Reson Med Sci 2023:mp.2023-0039. [PMID: 37899224 DOI: 10.2463/mrms.mp.2023-0039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2023] Open
Abstract
PURPOSE To compare objective and subjective image quality, lesion conspicuity, and apparent diffusion coefficient (ADC) of high-resolution multiplexed sensitivity-encoding diffusion-weighted imaging (MUSE-DWI) with conventional DWI (c-DWI) and reduced FOV DWI (rFOV-DWI) in prostate MRI. METHODS Forty-seven patients who underwent prostate MRI, including c-DWI, rFOV-DWI, and MUSE-DWI, were retrospectively evaluated. SNR and ADC of normal prostate tissue and contrast-to-noise ratio (CNR) and ADC of prostate cancer (PCa) were measured and compared between the three sequences. Image quality and lesion conspicuity were independently graded by two radiologists using a 5-point scale and compared between the three sequences. RESULTS The SNR of normal prostate tissue was significantly higher with rFOV-DWI than with the other two DWI techniques (P ≤ 0.01). The CNR of the PCa was significantly higher with rFOV-DWI than with MUSE-DWI (P < 0.05). The ADC of normal prostate tissue measured by rFOV-DWI was lower than that measured by MUSE-DWI and c-DWI (P < 0.01), while there was no difference in the ADC of cancers. In the qualitative analysis, MUSE-DWI showed significantly higher scores than rFOV-DWI and c-DWI for visibility of anatomy and overall image quality in both readers, and significantly higher scores for distortion in one of the two readers (P < 0.001). There was no difference in lesion conspicuity between the three sequences. CONCLUSION High-resolution MUSE-DWI showed higher image quality and reduced distortion compared to c-DWI, while maintaining a wide FOV and similar ADC quantification, although no difference in lesion conspicuity was observed.
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Affiliation(s)
- Atsushi Nakamoto
- Department of Future Diagnostic Radiology, Osaka University Graduate School of Medicine
| | - Hiromitsu Onishi
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine
| | - Takahiro Tsuboyama
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine
| | - Hideyuki Fukui
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine
| | - Takashi Ota
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine
| | - Keigo Yano
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine
| | - Kengo Kiso
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine
| | - Toru Honda
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine
| | - Hiroyuki Tarewaki
- Division of Radiology, Department of Medical Technology, Osaka University Hospital
| | - Yoshihiro Koyama
- Division of Radiology, Department of Medical Technology, Osaka University Hospital
| | - Mitsuaki Tatsumi
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine
| | - Noriyuki Tomiyama
- Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine
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Adham S, Ferri M, Lee SY, Larocque N, Alwahbi OA, Ruo L, van der Pol CB. Pancreatic ductal adenocarcinoma (PDAC) regional nodal disease at standard lymphadenectomy: is MRI accurate for identifying node-positive patients? Eur Radiol 2023; 33:5976-5983. [PMID: 37004569 DOI: 10.1007/s00330-023-09597-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 02/08/2023] [Accepted: 02/09/2023] [Indexed: 04/04/2023]
Abstract
OBJECTIVE To determine the accuracy of qualitative and quantitative MRI features for the diagnosis of pathologic regional lymph nodes at standard lymphadenectomy in patients with pancreatic ductal adenocarcinoma (PDAC). METHODS All adult patients with pancreatic MRI performed from 2011 to 2021 within 3 months of a pancreaticoduodenectomy were eligible for inclusion in this single-center retrospective cohort study. Regional nodes at standard lymphadenectomy were independently reviewed by two fellowship-trained abdominal radiologists for the following qualitative features: heterogeneous T2 signal, round shape, indistinct margin, peri-nodal fat stranding, and restricted diffusion greater than the spleen. Quantitative characteristics including primary tumor size, largest node short- and long-axes length, number of regional nodes, absolute apparent diffusion coefficient (ADC) values, and ADC node-to-spleen signal index were assessed. Analysis was at the patient-level with surgical pathology as the reference standard. RESULTS Of 75 patients, 85% (64/75) were positive for regional nodal disease on histopathology. None of the qualitative variables evaluated on MRI was associated with pathologic nodes. Median primary tumor maximum diameter was slightly larger for patients with pathologic nodes compared to those without (18 mm (10-42 mm) vs 16 mm (9-22 mm), p = 0.027). None of the other quantitative features was associated with pathologic nodes. Radiologist opinion was not associated with pathologic nodes (p = 0.520). Interobserver agreement was fair (kappa = 0.257). CONCLUSIONS Lymph node morphologic features and radiologist opinion using MRI are of limited value for diagnosing PDAC regional nodal disease. Improved diagnostic techniques are needed given the prognostic implications of pathologic lymph nodes in these patients. KEY POINTS • Multiple lymph node morphologic features routinely assessed on MRI for malignancies elsewhere in the body are likely not applicable when assessing for pancreatic ductal adenocarcinoma nodal disease. • Interobserver agreement for the presence or absence of pancreatic ductal adenocarcinoma lymph node morphologic features on MRI is fair (kappa = 0.257). • Many more lymph nodes are resected at PDAC standard lymphadenectomy than are detectable on MRI, median 25 vs 5 (p < 0.001), suggesting improved diagnostic techniques are needed to identify PDAC nodal disease.
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Affiliation(s)
- Sami Adham
- Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, 711 Concession Street, Hamilton, ON, L8V 1C3, Canada
- Department of Radiology, McMaster University, Hamilton, ON, Canada
| | - Melanie Ferri
- Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, 711 Concession Street, Hamilton, ON, L8V 1C3, Canada
- Department of Radiology, McMaster University, Hamilton, ON, Canada
| | - Stefanie Y Lee
- Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, 711 Concession Street, Hamilton, ON, L8V 1C3, Canada
- Department of Radiology, McMaster University, Hamilton, ON, Canada
| | - Natasha Larocque
- Department of Radiology, McMaster University, Hamilton, ON, Canada
- Hamilton General Hospital, Hamilton Health Sciences, Hamilton, ON, Canada
| | - Omar A Alwahbi
- Department of Radiology, McMaster University, Hamilton, ON, Canada
| | - Leyo Ruo
- Department of Radiology, McMaster University, Hamilton, ON, Canada
- Department of Surgery, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, Hamilton, ON, Canada
| | - Christian B van der Pol
- Department of Diagnostic Imaging, Juravinski Hospital and Cancer Centre, Hamilton Health Sciences, 711 Concession Street, Hamilton, ON, L8V 1C3, Canada.
- Department of Radiology, McMaster University, Hamilton, ON, Canada.
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Yang L, Li XM, Zhang MN, Yao J, Song B. Nomogram Models for Distinguishing Intraductal Carcinoma of the Prostate From Prostatic Acinar Adenocarcinoma Based on Multiparametric Magnetic Resonance Imaging. Korean J Radiol 2023; 24:668-680. [PMID: 37404109 DOI: 10.3348/kjr.2022.1022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 04/29/2023] [Accepted: 05/16/2023] [Indexed: 07/06/2023] Open
Abstract
OBJECTIVE To compare multiparametric magnetic resonance imaging (MRI) features of intraductal carcinoma of the prostate (IDC-P) with those of prostatic acinar adenocarcinoma (PAC) and develop prediction models to distinguish IDC-P from PAC and IDC-P with a high proportion (IDC ≥ 10%, hpIDC-P) from IDC-P with a low proportion (IDC < 10%, lpIDC-P) and PAC. MATERIALS AND METHODS One hundred and six patients with hpIDC-P, 105 with lpIDC-P and 168 with PAC, who underwent pretreatment multiparametric MRI between January 2015 and December 2020 were included in this study. Imaging parameters, including invasiveness and metastasis, were evaluated and compared between the PAC and IDC-P groups as well as between the hpIDC-P and lpIDC-P subgroups. Nomograms for distinguishing IDC-P from PAC, and hpIDC-P from lpIDC-P and PAC, were made using multivariable logistic regression analysis. The discrimination performance of the models was assessed using the receiver operating characteristic area under the curve (ROC-AUC) in the sample, where the models were derived from without an independent validation sample. RESULTS The tumor diameter was larger and invasive and metastatic features were more common in the IDC-P than in the PAC group (P < 0.001). The distribution of extraprostatic extension (EPE) and pelvic lymphadenopathy was even greater, and the apparent diffusion coefficient (ADC) ratio was lower in the hpIDC-P than in the lpIDC-P group (P < 0.05). The ROC-AUCs of the stepwise models based solely on imaging features for distinguishing IDC-P from PAC and hpIDC-P from lpIDC-P and PAC were 0.797 (95% confidence interval, 0.750-0.843) and 0.777 (0.727-0.827), respectively. CONCLUSION IDC-P was more likely to be larger, more invasive, and more metastatic, with obviously restricted diffusion. EPE, pelvic lymphadenopathy, and a lower ADC ratio were more likely to occur in hpIDC-P, and were also the most useful variables in both nomograms for predicting IDC-P and hpIDC-P.
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Affiliation(s)
- Ling Yang
- Department of Radiology, West China Hospital, Sichuan University, Sichuan, China
| | - Xue-Ming Li
- Department of Radiology, West China Hospital, Sichuan University, Sichuan, China
| | - Meng-Ni Zhang
- Department of Pathology, West China Hospital, Sichuan University, Sichuan, China
| | - Jin Yao
- Department of Radiology, West China Hospital, Sichuan University, Sichuan, China.
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Sichuan, China.
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Borgheresi A, Agostini A, Sternardi F, Cesari E, Ventura F, Ottaviani L, Delle Fave RF, Pretore E, Cimadamore A, Filosa A, Galosi AB, Giovagnoni A. Vascular Enlargement as a Predictor of Nodal Involvement in Bladder Cancer. Diagnostics (Basel) 2023; 13:2227. [PMID: 37443621 DOI: 10.3390/diagnostics13132227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/22/2023] [Accepted: 06/27/2023] [Indexed: 07/15/2023] Open
Abstract
In bladder cancer (BC), the evaluation of lymph node (LN) involvement at preoperative imaging lacks specificity. Since neoangiogenesis is paired with lymphatic involvement, this study aims to evaluate the presence of perivesical venous ectasia as an indirect sign of LN involvement, together with other conventional CT findings. All the patients who underwent radical cystectomy (RC) for BC between January 2017 and December 2019 with available preoperative contrast-enhanced CT (CECT) within 1 month before surgery were included. Patients without available pathological reports (and pTNM stage) or who underwent neoadjuvant treatments and palliative RC were excluded. Two readers in blind assessed the nodal shape and hilum, the short axis, and the contrast enhancement of suspicious pelvic LNs, the Largest Venous Diameter (LVD) efferent to the lesion, and the extravesical tumor invasion. In total, 38 patients (33 males) were included: 17 pT2, 17 pT3, 4 pT4; pN+: 20/38. LN short axis > 5 mm, LN enhancement, and LVD > 3 mm were significantly correlated with N+ at pathology. LVD > 3 mm had a significantly higher sensitivity and specificity (≥90%, AUC = 0.949) and was an independent predictor (p = 0.0016).
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Affiliation(s)
- Alessandra Borgheresi
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Via Tronto 10, 60126 Ancona, Italy
- Department of Radiological Sciences, Azienda Ospedaliero Universitaria delle Marche, Via Conca 71, 60126 Ancona, Italy
| | - Andrea Agostini
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Via Tronto 10, 60126 Ancona, Italy
- Department of Radiological Sciences, Azienda Ospedaliero Universitaria delle Marche, Via Conca 71, 60126 Ancona, Italy
| | - Francesca Sternardi
- Department of Radiological Sciences, Azienda Ospedaliero Universitaria delle Marche, Via Conca 71, 60126 Ancona, Italy
| | - Elisa Cesari
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Via Tronto 10, 60126 Ancona, Italy
| | - Fiammetta Ventura
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Via Tronto 10, 60126 Ancona, Italy
| | - Letizia Ottaviani
- Department of Radiological Sciences, Azienda Ospedaliero Universitaria delle Marche, Via Conca 71, 60126 Ancona, Italy
| | | | - Eugenio Pretore
- Division of Urology, Azienda Ospedaliero Universitaria delle Marche, Via Conca 71, 60126 Ancona, Italy
| | - Alessia Cimadamore
- Division of Pathology, Azienda Ospedaliero Universitaria delle Marche, Via Conca 71, 60126 Ancona, Italy
- Department of Biomedical Sciences and Public Healthcare, University Politecnica delle Marche, Via Tronto 10, 60126 Ancona, Italy
| | - Alessandra Filosa
- Division of Pathology, Azienda Ospedaliero Universitaria delle Marche, Via Conca 71, 60126 Ancona, Italy
- Department of Biomedical Sciences and Public Healthcare, University Politecnica delle Marche, Via Tronto 10, 60126 Ancona, Italy
| | - Andrea Benedetto Galosi
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Via Tronto 10, 60126 Ancona, Italy
- Division of Urology, Azienda Ospedaliero Universitaria delle Marche, Via Conca 71, 60126 Ancona, Italy
| | - Andrea Giovagnoni
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Via Tronto 10, 60126 Ancona, Italy
- Department of Radiological Sciences, Azienda Ospedaliero Universitaria delle Marche, Via Conca 71, 60126 Ancona, Italy
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10
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Multi-parametric MRI without artificial erection for preoperative assessment of primary penile carcinoma: A pilot study on the correlation between imaging and histopathological findings. Eur J Radiol Open 2023; 10:100478. [PMID: 36793771 PMCID: PMC9922909 DOI: 10.1016/j.ejro.2023.100478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/23/2023] [Accepted: 01/24/2023] [Indexed: 01/29/2023] Open
Abstract
Purpose We aimed to evaluate the diagnostic potential of non-erectile multi-parametric magnetic resonance imaging (mpMRI) for preoperative assessment of primary penile squamous cell carcinoma (SCC). Method Twenty-five patients who underwent surgery for penile SCC were included. Preoperative mpMRI without artificial erection was performed in all patients. The preoperative MRI protocol consisted of high-resolution morphological and functional sequences (diffusion-weighted imaging and dynamic contrast-enhanced MRI perfusion) covering the penis and lower pelvis. T and N staging, according to the 8th edition of the Union for International Cancer Control TNM classification, as well as the largest diameter and thickness/infiltration depth of the primary lesions were determined in all patients. Imaging data were retrospectively collected and compared with the final histopathology reports. Results Very good agreement was observed between MRI and histopathology for the involvement of corpus spongiosum (p = 0.002) and good agreement was observed for the involvement of penile urethra and tunica albuginea/corpus cavernosum (p < 0.001 and p = 0.007, respectively). Good agreement was observed between MRI and histopathology for overall T staging and weaker, but still good agreement was observed for N staging (p < 0.001 and p = 0.002, respectively). A strong and significant correlation was observed between MRI and histopathology for the largest diameter and thickness/infiltration depth of the primary lesions (p < 0.001). Conclusions Good concordance was observed between MRI and histopathological findings. Our initial findings indicate that non-erectile mpMRI is useful in preoperative assessment of primary penile SCC.
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Yang Y, Chen H, Ji M, Wu J, Chen X, Liu F, Rao S. A new radiomics approach combining the tumor and peri-tumor regions to predict lymph node metastasis and prognosis in gastric cancer. Gastroenterol Rep (Oxf) 2023; 7:goac080. [PMID: 36627981 PMCID: PMC9825201 DOI: 10.1093/gastro/goac080] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 11/25/2022] [Accepted: 12/02/2022] [Indexed: 01/09/2023] Open
Abstract
Objective The development of non-invasive methods for evaluating lymph node metastasis (LNM) preoperatively in gastric cancer (GC) is necessary. In this study, we developed a new radiomics model combining features from the tumor and peri-tumor regions for predicting LNM and prognoses. Methods This was a retrospective observational study. In this study, two cohorts of patients with GC treated in Zhongshan Hospital Fudan University (Shanghai, China) were included. In total, 193 patients were assigned to the internal training/validation cohort; another 98 patients were assigned to the independent testing cohort. The radiomics features were extracted from venous phase computerized tomography (CT) images. The radiomics model was constructed and the output was defined as the radiomics score (RS). The performance of the RS and CT-defined N status (ctN) for predicting LNM was compared using the area under the curve (AUC). The 5-year overall survival and progression-free survival were compared between different subgroups using Kaplan-Meier curves. Results In both cohorts, the RS was significantly higher in the LNM-positive group than that in the LNM-negative group (all P < 0.001). The radiomics model combining features from the tumor and peri-tumor regions achieved the highest AUC in predicting LNM (AUC, 0.779 and 0.724, respectively), which performed better than the radiomics model based only on the tumor region and ctN (AUC, 0.717, 0.622 and 0.710, 0.603, respectively). The differences in 5-year overall survival and progression-free survival between high-risk and low-risk groups were significant (both P < 0.001). Conclusions The radiomics model combining features from the tumor and peri-tumor regions could effectively predict the LNM in GC. Risk stratification based on the RS was capable of distinguishing patients with poor prognoses.
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Affiliation(s)
- Yutao Yang
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, P. R. China
| | - Hao Chen
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, P. R. China
| | - Min Ji
- Research Collaboration, Shanghai United Imaging Healthcare Co., Ltd., Shanghai, P. R. China
| | - Jianzhang Wu
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, P. R. China
| | - Xiaoshan Chen
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, P. R. China
| | - Fenglin Liu
- Corresponding authors. Shengxiang Rao, Shanghai Institute of Medical Imaging, Shanghai 200032, P. R. China. Tel: +86-13764181846; ; Fenglin Liu, Department of General Surgery, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai 200032, P. R. China. Tel: +86-13918765733;
| | - Shengxiang Rao
- Corresponding authors. Shengxiang Rao, Shanghai Institute of Medical Imaging, Shanghai 200032, P. R. China. Tel: +86-13764181846; ; Fenglin Liu, Department of General Surgery, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai 200032, P. R. China. Tel: +86-13918765733;
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12
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Qian W, Li Z, Chen W, Yin H, Zhang J, Xu J, Hu C. RESOLVE-DWI-based deep learning nomogram for prediction of normal-sized lymph node metastasis in cervical cancer: a preliminary study. BMC Med Imaging 2022; 22:221. [PMID: 36528577 PMCID: PMC9759891 DOI: 10.1186/s12880-022-00948-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND It is difficult to predict normal-sized lymph node metastasis (LNM) in cervical cancer clinically. We aimed to investigate the feasibility of using deep learning (DL) nomogram based on readout segmentation of long variable echo-trains diffusion weighted imaging (RESOLVE-DWI) and related patient information to preoperatively predict normal-sized LNM in patients with cervical cancer. METHODS A dataset of MR images [RESOLVE-DWI and apparent diffusion coefficient (ADC)] and patient information (age, tumor size, International Federation of Gynecology and Obstetrics stage, ADC value and squamous cell carcinoma antigen level) of 169 patients with cervical cancer between November 2013 and January 2022 were retrospectively collected. The LNM status was determined by final histopathology. The collected studies were randomly divided into a development cohort (n = 126) and a test cohort (n = 43). A single-channel convolutional neural network (CNN) and a multi-channel CNN based on ResNeSt architectures were proposed for predicting normal-sized LNM from single or multi modalities of MR images, respectively. A DL nomogram was constructed by incorporating the clinical information and the multi-channel CNN. These models' performance was analyzed by the receiver operating characteristic analysis in the test cohort. RESULTS Compared to the single-channel CNN model using RESOLVE-DWI and ADC respectively, the multi-channel CNN model that integrating both two MR modalities showed improved performance in development cohort [AUC 0.848; 95% confidence interval (CI) 0.774-0.906] and test cohort (AUC 0.767; 95% CI 0.613-0.882). The DL nomogram showed the best performance in development cohort (AUC 0.890; 95% CI 0.821-0.938) and test cohort (AUC 0.844; 95% CI 0.701-0.936). CONCLUSION The DL nomogram incorporating RESOLVE-DWI and clinical information has the potential to preoperatively predict normal-sized LNM of cervical cancer.
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Affiliation(s)
- Weiliang Qian
- grid.429222.d0000 0004 1798 0228Department of Radiology, The First Affiliated Hospital of Soochow University, No.188 Shizi Street, Suzhou, 215006 Jiangsu People’s Republic of China ,grid.89957.3a0000 0000 9255 8984Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, No.26 Daoqian Street, Suzhou, 215002 Jiangsu People’s Republic of China
| | - Zhisen Li
- grid.89957.3a0000 0000 9255 8984Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, No.26 Daoqian Street, Suzhou, 215002 Jiangsu People’s Republic of China
| | - Weidao Chen
- grid.507939.1Beijing Infervision Technology Co., Ltd, No.60 Dongsihuan Middle Road, Chaoyang District, Beijing, 100020 People’s Republic of China
| | - Hongkun Yin
- grid.507939.1Beijing Infervision Technology Co., Ltd, No.60 Dongsihuan Middle Road, Chaoyang District, Beijing, 100020 People’s Republic of China
| | - Jibin Zhang
- grid.89957.3a0000 0000 9255 8984Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, No.26 Daoqian Street, Suzhou, 215002 Jiangsu People’s Republic of China
| | - Jianming Xu
- grid.89957.3a0000 0000 9255 8984Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, No.26 Daoqian Street, Suzhou, 215002 Jiangsu People’s Republic of China
| | - Chunhong Hu
- grid.429222.d0000 0004 1798 0228Department of Radiology, The First Affiliated Hospital of Soochow University, No.188 Shizi Street, Suzhou, 215006 Jiangsu People’s Republic of China
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Compérat E, Amin MB, Cathomas R, Choudhury A, De Santis M, Kamat A, Stenzl A, Thoeny HC, Witjes JA. Current best practice for bladder cancer: a narrative review of diagnostics and treatments. Lancet 2022; 400:1712-1721. [PMID: 36174585 DOI: 10.1016/s0140-6736(22)01188-6] [Citation(s) in RCA: 74] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 05/05/2022] [Accepted: 06/10/2022] [Indexed: 12/20/2022]
Abstract
This Seminar presents the current best practice for the diagnosis and management of bladder cancer. The scope of this Seminar ranges from current challenges in pathology, such as the evolving histological and molecular classification of disease, to advances in personalised medicine and novel imaging approaches. We discuss the current role of radiotherapy, surgical management of non-muscle-invasive and muscle-invasive disease, highlight the challenges of treatment of metastatic bladder cancer, and discuss the latest developments in systemic therapy. This Seminar is intended to provide physicians with knowledge of current issues in bladder cancer.
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Affiliation(s)
- Eva Compérat
- Department of Pathology, Tenon Hospital, Sorbonne University, Paris, France; Department of Pathology, Medical University of Vienna, Vienna, Austria.
| | - Mahul B Amin
- Department of Pathology and Laboratory Medicine and Urology, University of Tennessee Health Science, Memphis, TN, USA
| | - Richard Cathomas
- Department of Oncology/Hematology, Kantonsspital Graubünden, Chur, Switzerland
| | - Ananya Choudhury
- Department of Clinical Oncology, The Christie NHS Foundation Trust and University of Manchester, Manchester, UK
| | - Maria De Santis
- Department of Urology, Charité University Hospital, Berlin, Germany
| | - Ashish Kamat
- Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Arnulf Stenzl
- Department of Urology, University Hospital, Tübingen, Germany
| | - Harriet C Thoeny
- Department of Radiology, HFR Fribourg-Hôpital Cantonal, University of Fribourg, Villars-sur-Glâne, Switzerland; Department of Urology, Inselspital University Hospital, Bern, Switzerland
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14
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Liu X, Tian J, Wu J, Zhang Y, Wang X, Zhang X, Wang X. Utility of diffusion weighted imaging-based radiomics nomogram to predict pelvic lymph nodes metastasis in prostate cancer. BMC Med Imaging 2022; 22:190. [DOI: 10.1186/s12880-022-00905-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 09/29/2022] [Indexed: 11/06/2022] Open
Abstract
Abstract
Background
Preoperative pelvic lymph node metastasis (PLNM) prediction can help clinicians determine whether to perform pelvic lymph node dissection (PLND). The purpose of this research is to explore the feasibility of diffusion-weighted imaging (DWI)-based radiomics for preoperative PLNM prediction in PCa patients at the nodal level.
Methods
The preoperative MR images of 1116 pathologically confirmed lymph nodes (LNs) from 84 PCa patients were enrolled. The subjects were divided into a primary cohort (67 patients with 192 positive and 716 negative LNs) and a held-out cohort (17 patients with 43 positive and 165 negative LNs) at a 4:1 ratio. Two preoperative pelvic lymph node metastasis (PLNM) prediction models were constructed based on automatic LN segmentation with quantitative radiological LN features alone (Model 1) and combining radiological and radiomics features (Model 2) via multiple logistic regression. The visual assessments of junior (Model 3) and senior (Model 4) radiologists were compared.
Results
No significant difference was found between the area under the curve (AUCs) of Models 1 and 2 (0.89 vs. 0.90; P = 0.573) in the held-out cohort. Model 2 showed the highest AUC (0.83, 95% CI 0.76, 0.89) for PLNM prediction in the LN subgroup with a short diameter ≤ 10 mm compared with Model 1 (0.78, 95% CI 0.70, 0.84), Model 3 (0.66, 95% CI 0.52, 0.77), and Model 4 (0.74, 95% CI 0.66, 0.88). The nomograms of Models 1 and 2 yielded C-index values of 0.804 and 0.910, respectively, in the held-out cohort. The C-index of the nomogram analysis (0.91) and decision curve analysis (DCA) curves confirmed the clinical usefulness and benefit of Model 2.
Conclusions
A DWI-based radiomics nomogram incorporating the LN radiomics signature with quantitative radiological features is promising for PLNM prediction in PCa patients, particularly for normal-sized LNM.
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15
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Li M, Zelchan R, Orlova A. The Performance of FDA-Approved PET Imaging Agents in the Detection of Prostate Cancer. Biomedicines 2022; 10:biomedicines10102533. [PMID: 36289795 PMCID: PMC9599369 DOI: 10.3390/biomedicines10102533] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/01/2022] [Accepted: 10/06/2022] [Indexed: 11/23/2022] Open
Abstract
Positron emission tomography (PET) incorporated with X-ray computed tomography (PET/CT) or magnetic resonance imaging (PET/MRI) is increasingly being used as a diagnostic tool for prostate cancer (PCa). In this review, we describe and evaluate the clinical performance of some Food and Drug Administration (FDA)-approved agents used for visualizing PCa: [18F]FDG, [11C]choline, [18F]FACBC, [68Ga]Ga-PSMA-11, [18F]DCFPyL, and [18F]-NaF. We carried out a comprehensive literature search based on articles published from 1 January 2010 to 1 March 2022. We selected English language articles associated with the discovery, preclinical study, clinical study, and diagnostic performance of the imaging agents for the evaluation. Prostate-specific membrane antigen (PSMA)-targeted imaging agents demonstrated superior diagnostic performance in both primary and recurrent PCa, compared with [11C]choline and [18F]FACBC, both of which target dividing cells and are used especially in patients with low prostate-specific antigen (PSA) values. When compared to [18F]-NaF (which is suitable for the detection of bone metastases), PSMA-targeted agents were also capable of detecting lesions in the lymph nodes, soft tissues, and bone. However, a limitation of PSMA-targeted imaging was the heterogeneity of PSMA expression in PCa, and consequently, a combination of two PET tracers was proposed to overcome this obstacle. The preliminary studies indicated that the use of PSMA-targeted scanning is more cost efficient than conventional imaging modalities for high-risk PCa patients. Furthering the development of imaging agents that target PCa-associated receptors and molecules could improve PET-based diagnosis of PCa.
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Affiliation(s)
- Mei Li
- Department of Medicinal Chemistry, Uppsala University, 751 23 Uppsala, Sweden
- Liaoning Medical Device Test Institute, Shenyang 110171, China
| | - Roman Zelchan
- Department of Nuclear Medicine, Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, 5 Kooperativny St., 634009 Tomsk, Russia
- Research Centrum for Oncotheranostics, Research School of Chemistry and Applied Biomedical Sciences, Tomsk Polytechnic University, 634050 Tomsk, Russia
| | - Anna Orlova
- Department of Medicinal Chemistry, Uppsala University, 751 23 Uppsala, Sweden
- Research Centrum for Oncotheranostics, Research School of Chemistry and Applied Biomedical Sciences, Tomsk Polytechnic University, 634050 Tomsk, Russia
- Science for Life Laboratory, Uppsala University, 752 37 Uppsala, Sweden
- Correspondence:
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Devos G, Tosco L, Baldewijns M, Gevaert T, Goffin K, Petit V, Mai C, Laenen A, Raskin Y, Van Haute C, Goeman L, De Meerleer G, Berghen C, Devlies W, Claessens F, Van Poppel H, Everaerts W, Joniau S. ARNEO: A Randomized Phase II Trial of Neoadjuvant Degarelix with or Without Apalutamide Prior to Radical Prostatectomy for High-risk Prostate Cancer. Eur Urol 2022; 83:508-518. [PMID: 36167599 DOI: 10.1016/j.eururo.2022.09.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 08/08/2022] [Accepted: 09/06/2022] [Indexed: 12/17/2022]
Abstract
BACKGROUND High-risk prostate cancer (PCa) patients have a high risk of biochemical recurrence and metastatic progression following radical prostatectomy (RP). OBJECTIVE To determine the efficacy of neoadjuvant degarelix plus apalutamide before RP compared with degarelix with a matching placebo. DESIGN, SETTING, AND PARTICIPANTS ARNEO was a randomized, placebo-controlled, phase II neoadjuvant trial before RP performed between March 2019 and April 2021. Eligible patients had high-risk PCa and were amenable to RP. INTERVENTION Patients were randomly assigned at a 1:1 ratio to degarelix (240-80-80 mg) + apalutamide (240 mg/d) versus degarelix + matching placebo for 3 mo followed by RP. Prior to and following neoadjuvant treatment, pelvic 18F-PSMA-1007 positron emission tomography (PET)/magnetic resonance imaging (MRI) was performed. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS The primary endpoint was the difference in proportions of patients with minimal residual disease (MRD; = residual cancer burden (RCB) ≤0.25 cm3 at final pathology). Secondary endpoints included differences in prostate-specific antigen responses, pathological staging, and change in TNM stage on prostate-specific membrane antigen (PSMA) PET/MRI following hormonal treatment. Biomarkers (immunohistochemical staining on prostate biopsy [PTEN, ERG, Ki67, P53, GR, and PSMA] and PSMA PET/MRI-derived characteristics) associated with pathological response (MRD and RCB) were explored. RESULTS AND LIMITATIONS Patients were randomized to neoadjuvant degarelix + apalutamide (n = 45) or degarelix + matching placebo (n = 44) for 12 wk and underwent RP. Patients in the degarelix + apalutamide arm achieved a significantly higher rate of MRD than those in the control arm (38% vs 9.1%; relative risk [95% confidence interval] = 4.2 [1.5-11], p = 0.002). Patients with PTEN loss in baseline prostate biopsy attained significantly less MRD (11% vs 43%, p = 0.002) and had a higher RCB at final pathology (1.6 vs 0.40 cm3, p < 0.0001) than patients without PTEN loss. Following neoadjuvant hormonal therapy, PSMA PET-estimated tumor volumes (1.2 vs 2.5 ml, p = 0.01) and maximum standardized uptake value (SUVmax; 4.3 vs 5.7, p = 0.007) were lower in patients with MRD than in patients without MRD. PSMA PET-estimated volume and PSMA PET SUVmax following neoadjuvant treatment correlated significantly with RCB at final pathology (both p < 0.001). CONCLUSIONS In high-risk PCa patients, neoadjuvant degarelix plus apalutamide prior to RP results in a significantly improved pathological response (MRD and RCB) compared with degarelix alone. Our trial results provide a solid hypothesis-generating basis for neoadjuvant phase 3 trials, which are powered to detect differences in long-term oncological outcome following neoadjuvant androgen receptor signaling inhibitor therapy. PATIENT SUMMARY In this study, we looked at the difference in pathological responses in high-risk prostate cancer patients treated with degarelix plus apalutamide or degarelix plus matching placebo prior to radical prostatectomy. We demonstrated that patients treated with degarelix plus apalutamide achieved a significantly better tumor response than patients treated with degarelix plus matching placebo. Long-term follow-up is required to determine whether improved pathological outcome translates into better oncological outcomes.
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Affiliation(s)
- Gaëtan Devos
- Department of Urology, University Hospitals Leuven, Leuven, Belgium; Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Lorenzo Tosco
- Department of Urology, University Hospitals Leuven, Leuven, Belgium
| | | | - Thomas Gevaert
- Department of Urology, University Hospitals Leuven, Leuven, Belgium
| | - Karolien Goffin
- Department of Nuclear Medicine, University Hospitals Leuven, Leuven, Belgium
| | - Valentin Petit
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Cindy Mai
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Annouschka Laenen
- Leuven Biostatistics and Statistical Bioinformatics Center, KU Leuven, Leuven, Belgium
| | - Yannic Raskin
- Department of Urology, University Hospitals Leuven, Leuven, Belgium
| | - Carl Van Haute
- Department of Urology, University Hospitals Leuven, Leuven, Belgium
| | - Lieven Goeman
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Gert De Meerleer
- Department of Radiation Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Charlien Berghen
- Department of Radiation Oncology, University Hospitals Leuven, Leuven, Belgium
| | - Wout Devlies
- Department of Urology, University Hospitals Leuven, Leuven, Belgium; Laboratory of Molecular Endocrinology, KU Leuven, Leuven, Belgium
| | - Frank Claessens
- Laboratory of Molecular Endocrinology, KU Leuven, Leuven, Belgium
| | | | - Wouter Everaerts
- Department of Urology, University Hospitals Leuven, Leuven, Belgium; Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Steven Joniau
- Department of Urology, University Hospitals Leuven, Leuven, Belgium; Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
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Song Q, Yu Y, Zhang X, Zhu Y, Luo Y, Yu T, Sun J, Liu F, Dong Y. Value of MRI and diffusion-weighted imaging in diagnosing normal-sized pelvic lymph nodes metastases in patients with cervical cancer. Br J Radiol 2022; 95:20200203. [PMID: 33095657 PMCID: PMC9815749 DOI: 10.1259/bjr.20200203] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 09/22/2020] [Accepted: 10/13/2020] [Indexed: 01/13/2023] Open
Abstract
OBJECTIVES To investigate the value of conventional MRI and diffusion-weighted imaging (DWI) in diagnosing normal-sized pelvic lymph nodes metastases in patients with cervical cancer. METHODS 102 patients with cervical cancer who underwent MRI and DWI scan were included. 137 lymph nodes were analyzed, including 44 metastatic lymph nodes (MLNs) and 93 non-metastatic lymph nodes (non-MLNs). The morphology and apparent diffusion coefficient (ADC) value of lymph nodes were measured including short-axis diameter (DS), long-axis diameter (DL), ratio of short-to-long-axis diameter (DR), fatty hilum, asymmetry, ADCmax, ADCmean and ADCmin. The Mann-Whitney U-test, independent sample t-test and Chi-square test were employed to compare the differences of all criteria between MLNs and non-MLNs. Logistic regression and decision tree were used to develop the combined diagnostic model. ROC analyses were used to evaluate the diagnostic performance. RESULTS The DS and DR of MLNs were significantly higher than those of non-MLNs (p < 0.05), the ADCmax, ADCmean and ADCmin of MLNs were significantly lower than those of non-MLNs (p < 0.05). Presence of fatty hilum and asymmetric lymph nodes between MLNs and non-MLNs were significantly different (p<0.05). Combined measurement of ADCmin, DS and DR had the highest AUC 0.937 with 90.9% sensitivity and 87.1% specificity. The accuracy of decision tree was 88.3%. CONCLUSION MRI with DWI had potential in diagnosing normal-sized pelvic lymph nodes metastases in patients with cervical cancer. The combined evaluation of DS, DR and ADCmin of lymph nodes and decision tree of the combined measure showed better diagnostic performances than sole criteria. ADVANCES IN KNOWLEDGE The short-axis diameter, ratio of short-to-long-axis diameter and ADCmin of lymph nodes have moderate value in the diagnosis of the metastases of the normal-sized lymph nodes for the patient with cervical cancer as the sole indices. The combined evaluation of DS, DR and ADCmin is much more valuable in the detection of metastatic lymph nodes.
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Affiliation(s)
| | | | - Xiaomiao Zhang
- Department of Radiology, Cancer Hospital of China Medical University, Liaoning cancer hospital & institute Shenyang, Liaoning, China
| | | | - Yahong Luo
- Department of Radiology, Cancer Hospital of China Medical University, Liaoning cancer hospital & institute Shenyang, Liaoning, China
| | - Tao Yu
- Department of Radiology, Cancer Hospital of China Medical University, Liaoning cancer hospital & institute Shenyang, Liaoning, China
| | - Jiayi Sun
- Department of Radiology, Cancer Hospital of China Medical University, Liaoning cancer hospital & institute Shenyang, Liaoning, China
| | - Fan Liu
- Department of Radiology, Cancer Hospital of China Medical University, Liaoning cancer hospital & institute Shenyang, Liaoning, China
| | - Yue Dong
- Department of Radiology, Cancer Hospital of China Medical University, Liaoning cancer hospital & institute Shenyang, Liaoning, China
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Maheshwari E, Nougaret S, Stein EB, Rauch GM, Hwang KP, Stafford RJ, Klopp AH, Soliman PT, Maturen KE, Rockall AG, Lee SI, Sadowski EA, Venkatesan AM. Update on MRI in Evaluation and Treatment of Endometrial Cancer. Radiographics 2022; 42:2112-2130. [PMID: 36018785 DOI: 10.1148/rg.220070] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Endometrial cancer is the second most common gynecologic cancer worldwide and the most common gynecologic cancer in the United States, with an increasing incidence in high-income countries. Although the International Federation of Gynecology and Obstetrics (FIGO) staging system for endometrial cancer is a surgical staging system, contemporary published evidence-based data and expert opinions recommend MRI for treatment planning as it provides critical diagnostic information on tumor size and depth, extent of myometrial and cervical invasion, extrauterine extent, and lymph node status, all of which are essential in choosing the most appropriate therapy. Multiparametric MRI using a combination of T2-weighted sequences, diffusion-weighted imaging, and multiphase contrast-enhanced imaging is the mainstay for imaging assessment of endometrial cancer. Identification of important prognostic factors at MRI improves both treatment selection and posttreatment follow-up. MRI also plays a crucial role for fertility-preserving strategies and in patients who are not surgical candidates by helping guide therapy and identify procedural complications. This review is a product of the Society of Abdominal Radiology Uterine and Ovarian Cancer Disease-Focused Panel and reflects a multidisciplinary international collaborative effort to summarize updated information highlighting the role of MRI for endometrial cancer depiction and delineation, treatment planning, and follow-up. The article includes information regarding dedicated MRI protocols, tips for MRI reporting, imaging pitfalls, and strategies for image quality optimization. The roles of MRI-guided radiation therapy, hybrid PET/MRI, and advanced MRI techniques that are applicable to endometrial cancer imaging are also discussed. Online supplemental material is available for this article. ©RSNA, 2022.
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Affiliation(s)
- Ekta Maheshwari
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Stephanie Nougaret
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Erica B Stein
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Gaiane M Rauch
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Ken-Pin Hwang
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - R Jason Stafford
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Ann H Klopp
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Pamela T Soliman
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Katherine E Maturen
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Andrea G Rockall
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Susanna I Lee
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Elizabeth A Sadowski
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Aradhana M Venkatesan
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
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Liu Y, Li X, Zhu L, Zhao Z, Wang T, Zhang X, Cai B, Li L, Ma M, Ma X, Ming J. Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Based on Intratumoral and Peritumoral DCE-MRI Radiomics Nomogram. CONTRAST MEDIA & MOLECULAR IMAGING 2022; 2022:6729473. [PMID: 36051932 PMCID: PMC9410821 DOI: 10.1155/2022/6729473] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 06/10/2022] [Accepted: 07/13/2022] [Indexed: 11/22/2022]
Abstract
Objective To investigate the value of preoperative prediction of breast cancer axillary lymph node metastasis based on intratumoral and peritumoral dynamic contrast enhancement magnetic resonance imaging (DCE-MRI) radiomics nomogram. Material and Methods. In this study, a radiomics model was developed based on a training cohort involving 250 patients with breast cancer (BC) who had undergone axillary lymph node (ALN) dissection between June 2019 and January 2021. The intratumoral and peritumoral radiomics features were extracted from the second postcontrast images of DCE-MRI. Based on filtered radiomics features, the radiomics signature was built by using the least absolute shrinkage and selection operator method. The Support Vector Machines (SVM) learning algorithm was used to construct intratumoral, periatumoral, and intratumoral combined periatumoral models for predicting axillary lymph node metastasis (ALNM) in BC. Nomogram performance was determined by its discrimination, calibration, and clinical value. Multivariable logistic regression was adopted to establish a radiomics nomogram. Results The intratumoral combined peritumoral radiomics signature, which was composed of fifteen ALN status-related features, showed the best predictive performance and was associated with ALNM in both the training and validation cohorts (P < 0.001). The prediction efficiency of the intratumoral combined peritumoral radiomics model was higher than that of the intratumoral radiomics model and the peritumoral radiomics model. The AUCs of the training and verification cohorts were 0.867 and 0.785, respectively. The radiomics nomogram, which incorporated the radiomics signature, MR-reported ALN status, and MR-reported maximum diameter of the lesion, showed good calibration and discrimination in the training (AUC = 0.872) and validation cohorts (AUC = 0.863). Conclusion The intratumoral combined peritumoral radiomics model derived from DCE-MRI showed great predictive value for ALNM and may help to improve clinical decision-making for BC.
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Affiliation(s)
- Ying Liu
- Special Needs Comprehensive Department, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi 830011, Xinjiang, China
| | - Xing Li
- Medical Imaging Center, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi 830011, Xinjiang, China
| | - Lina Zhu
- Medical Imaging Center, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi 830011, Xinjiang, China
| | - Zhiwei Zhao
- Medical Imaging Center, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi 830011, Xinjiang, China
| | - Tuan Wang
- Medical Imaging Center, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi 830011, Xinjiang, China
| | - Xi Zhang
- Medical Imaging Center, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi 830011, Xinjiang, China
| | - Bing Cai
- Medical Imaging Center, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi 830011, Xinjiang, China
| | - Li Li
- Medical Imaging Center, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi 830011, Xinjiang, China
| | - Mingrui Ma
- Information Center, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi 830011, Xinjiang, China
| | - Xiaojian Ma
- Information Center, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi 830011, Xinjiang, China
| | - Jie Ming
- Medical Imaging Center, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi 830011, Xinjiang, China
- Medical Imaging Center, Bachu County People's Hospital, Bachu 843800, Xinjiang, China
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20
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Validating the screening criteria for bone metastases in treatment-naïve unfavorable intermediate and high-risk prostate cancer - the prevalence and location of bone- and lymph node metastases. Eur Radiol 2022; 32:8266-8275. [PMID: 35939081 DOI: 10.1007/s00330-022-08945-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/12/2022] [Accepted: 05/30/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVE The European Association of Urology (EAU) recommends a bone scan for newly diagnosed unfavorable intermediate- and high-risk prostate cancer. We aimed to validate the screening criteria for bone metastases in patients with treatment-naïve prostate cancer. METHODS This single-center retrospective study included all patients with treatment-naïve unfavorable intermediate- or high-risk prostate cancer. All underwent MRI of the lumbar column (T2Dixon) and pelvis (3DT2w, DWI, and T2 Dixon). The presence and location of lymph node and bone metastases were registered according to risk groups and radiological (rad) T-stage. The risk of lymph node metastases was assessed by odds ratio (OR). RESULTS We included 390 patients, of which 68% were high-risk and 32% were unfavorable intermediate-risk. In the high-risk group, the rate of regional- and non-regional lymph node metastases was 11% and 6%, respectively, and the rate of bone metastases was 10%. In the unfavorable intermediate-risk group, the rate of regional- and non-regional lymph node metastases was 4% and 0.8%, respectively, and the rate of bone metastases was 0.8%. Metastases occurred exclusively in the lumbar column in 0.5% of all patients, in the pelvis in 4%, and the pelvis and lumbar column in 3%. All patients with bone metastases had radT3-4, and patients with radT3-4 showed a four-fold increased risk of lymph node metastases (OR 4.48, 95% CI: 2.1-9.5). CONCLUSION Bone metastases were found in 10% with high-risk prostate cancer and 0.8% with unfavorable intermediate-risk. Therefore, we question the recommendation to screen the unfavorable intermediate-risk group for bone metastases. KEY POINTS • The rate of bone metastases was 10% in high-risk patients and 0.8% in the unfavorable intermediate-risk group. • The rate of lymph-node metastases was 17% in high-risk patients and 5% in the unfavorable intermediate-risk group. • No bone metastases were seen in radiologically localized disease.
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21
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Fernandes MC, Yildirim O, Woo S, Vargas HA, Hricak H. The role of MRI in prostate cancer: current and future directions. MAGMA (NEW YORK, N.Y.) 2022; 35:503-521. [PMID: 35294642 PMCID: PMC9378354 DOI: 10.1007/s10334-022-01006-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 01/16/2022] [Accepted: 03/03/2022] [Indexed: 06/14/2023]
Abstract
There has been an increasing role of magnetic resonance imaging (MRI) in the management of prostate cancer. MRI already plays an essential role in the detection and staging, with the introduction of functional MRI sequences. Recent advancements in radiomics and artificial intelligence are being tested to potentially improve detection, assessment of aggressiveness, and provide usefulness as a prognostic marker. MRI can improve pretreatment risk stratification and therefore selection of and follow-up of patients for active surveillance. MRI can also assist in guiding targeted biopsy, treatment planning and follow-up after treatment to assess local recurrence. MRI has gained importance in the evaluation of metastatic disease with emerging technology including whole-body MRI and integrated positron emission tomography/MRI, allowing for not only better detection but also quantification. The main goal of this article is to review the most recent advances on MRI in prostate cancer and provide insights into its potential clinical roles from the radiologist's perspective. In each of the sections, specific roles of MRI tailored to each clinical setting are discussed along with its strengths and weakness including already established material related to MRI and the introduction of recent advancements on MRI.
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Affiliation(s)
- Maria Clara Fernandes
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA
| | - Onur Yildirim
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA
| | - Sungmin Woo
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA.
| | - Hebert Alberto Vargas
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA
| | - Hedvig Hricak
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY, 10065, USA
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22
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Zhang S, Huang S, He W, Wei J, Huo L, Jia N, Lin J, Tang Z, Yuan Y, Tian J, Shen F, Li J. Radiomics-Based Preoperative Prediction of Lymph Node Metastasis in Intrahepatic Cholangiocarcinoma Using Contrast-Enhanced Computed Tomography. Ann Surg Oncol 2022; 29:6786-6799. [PMID: 35789309 DOI: 10.1245/s10434-022-12028-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 05/30/2022] [Indexed: 01/04/2023]
Abstract
BACKGROUND Lymph node (LN) metastasis is significantly associated with worse prognosis for patients with intrahepatic cholangiocarcinoma (ICC). Improvement in preoperative assessment on LN metastasis helps in treatment decision-making. We aimed to investigate the role of radiomics-based method in predicting LN metastasis for patients with ICC. METHODS A total of 296 patients with ICC who underwent curative-intent hepatectomy and lymphadenectomy at two centers in China were analyzed. Radiomic features, including histogram- and wavelet-based features, shape and size features, and texture features were extracted from four-phase computerized tomography (CT) images. The clinical and conventional radiological variables which were independently associated with LN metastasis were also identified. A combined nomogram predicting LN metastasis was developed, and its performance was determined by discrimination, calibration, and stratification of long-term prognosis. The results were validated by the internal and external validation cohorts. RESULTS Twenty-four radiomic features were selected into the nomogram. The established nomogram demonstrated good discrimination and calibration, with areas under the curve (AUCs) of 0.98 [95% confidence interval (CI) 0.96-0.99], 0.93 (0.88-0.98), and 0.89 (0.81-0.96) in the training and two validation cohorts, respectively. The 5-year overall survival (OS) and recurrence-free survival (RFS) rates of patients with high risk of LN metastasis as grouped by nomogram were poorer than those of patients with low risk in the training cohort (OS 28.8% versus 53.9%, p < 0.001; RFS 26.3% versus 44.2%, p = 0.001). Similar results were observed in the two validation cohorts. CONCLUSIONS Radiomics-based method provided accurate prediction of LN metastasis and prognostic assessment for ICC patients, and might aid the preoperative surgical decision.
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Affiliation(s)
- Shuaitong Zhang
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,School of Engineering Medicine, Beihang University, Beijing, China
| | - Shengyu Huang
- Department of Hepatobiliary and Pancreatic Surgery, Tenth People's Hospital of Tongji University, Shanghai, China.,Department of Hepatic Surgery IV, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, China
| | - Wei He
- Department of Hepatobiliary Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Jingwei Wei
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Lei Huo
- Department of Radiotherapy, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, China
| | - Ningyang Jia
- Department of Radiotherapy, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, China
| | - Jianbo Lin
- Department of Hepatobiliary and Pancreatic Surgery, Tenth People's Hospital of Tongji University, Shanghai, China.,Department of Hepatic Surgery IV, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, China
| | - Zhenchao Tang
- Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shanxi, China
| | - Yunfei Yuan
- Department of Radiotherapy, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, China
| | - Jie Tian
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China. .,School of Engineering Medicine, Beihang University, Beijing, China. .,Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shanxi, China.
| | - Feng Shen
- Department of Hepatic Surgery IV, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, China.
| | - Jun Li
- Department of Hepatobiliary and Pancreatic Surgery, Tenth People's Hospital of Tongji University, Shanghai, China. .,Department of Hepatic Surgery IV, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, China.
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Starmans MPA, Ho LS, Smits F, Beije N, de Kruijff I, de Jong JJ, Somford DM, Boevé ER, te Slaa E, Cauberg ECC, Klaver S, van der Heijden AG, Wijburg CJ, van de Luijtgaarden ACM, van Melick HHE, Cauffman E, de Vries P, Jacobs R, Niessen WJ, Visser JJ, Klein S, Boormans JL, van der Veldt AAM. Optimization of Preoperative Lymph Node Staging in Patients with Muscle-Invasive Bladder Cancer Using Radiomics on Computed Tomography. J Pers Med 2022; 12:jpm12050726. [PMID: 35629148 PMCID: PMC9147130 DOI: 10.3390/jpm12050726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 04/27/2022] [Accepted: 04/27/2022] [Indexed: 12/10/2022] Open
Abstract
Approximately 25% of the patients with muscle-invasive bladder cancer (MIBC) who are clinically node negative have occult lymph node metastases at radical cystectomy (RC) and pelvic lymph node dissection. The aim of this study was to evaluate preoperative CT-based radiomics to differentiate between pN+ and pN0 disease in patients with clinical stage cT2-T4aN0-N1M0 MIBC. Patients with cT2-T4aN0-N1M0 MIBC, of whom preoperative CT scans and pathology reports were available, were included from the prospective, multicenter CirGuidance trial. After manual segmentation of the lymph nodes, 564 radiomics features were extracted. A combination of different machine-learning methods was used to develop various decision models to differentiate between patients with pN+ and pN0 disease. A total of 209 patients (159 pN0; 50 pN+) were included, with a total of 3153 segmented lymph nodes. None of the individual radiomics features showed significant differences between pN+ and pN0 disease, and none of the radiomics models performed substantially better than random guessing. Hence, CT-based radiomics does not contribute to differentiation between pN+ and pN0 disease in patients with cT2-T4aN0-N1M0 MIBC.
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Affiliation(s)
- Martijn P. A. Starmans
- Department of Radiology and Nuclear Medicine, Erasmus MC, 3015 GD Rotterdam, The Netherlands; (L.S.H.); (F.S.); (W.J.N.); (J.J.V.); (S.K.); (A.A.M.v.d.V.)
- Correspondence: ; Tel.: +31-10-704-10-26
| | - Li Shen Ho
- Department of Radiology and Nuclear Medicine, Erasmus MC, 3015 GD Rotterdam, The Netherlands; (L.S.H.); (F.S.); (W.J.N.); (J.J.V.); (S.K.); (A.A.M.v.d.V.)
| | - Fokko Smits
- Department of Radiology and Nuclear Medicine, Erasmus MC, 3015 GD Rotterdam, The Netherlands; (L.S.H.); (F.S.); (W.J.N.); (J.J.V.); (S.K.); (A.A.M.v.d.V.)
| | - Nick Beije
- Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands; (N.B.); (I.d.K.)
| | - Inge de Kruijff
- Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands; (N.B.); (I.d.K.)
| | - Joep J. de Jong
- Department of Urology, Erasmus MC, 3015 GD Rotterdam, The Netherlands; (J.J.d.J.); (J.L.B.)
| | - Diederik M. Somford
- Department of Urology, Canisius-Wilhelmina Hospital, 6532 SZ Nijmegen, The Netherlands;
| | - Egbert R. Boevé
- Department of Urology, Franciscus Gasthuis & Vlietland, 3045 PM Rotterdam, The Netherlands;
| | - Ed te Slaa
- Department of Urology, Isala, 8025 AB Zwolle, The Netherlands; (E.t.S.); (E.C.C.C.)
| | | | - Sjoerd Klaver
- Department of Urology, Maasstad, 3079 DZ Rotterdam, The Netherlands;
| | | | - Carl J. Wijburg
- Department of Urology, Rijnstate, 6815 AD Arnhem, The Netherlands;
| | | | - Harm H. E. van Melick
- Department of Urology, St Antonius Ziekenhuis, Nieuwegein, 3543 AZ Utrecht, The Netherlands;
| | - Ella Cauffman
- Department of Urology, Zuyderland, 6162 BG Sittard, The Netherlands; (E.C.); (P.d.V.); (R.J.)
| | - Peter de Vries
- Department of Urology, Zuyderland, 6162 BG Sittard, The Netherlands; (E.C.); (P.d.V.); (R.J.)
| | - Rens Jacobs
- Department of Urology, Zuyderland, 6162 BG Sittard, The Netherlands; (E.C.); (P.d.V.); (R.J.)
| | - Wiro J. Niessen
- Department of Radiology and Nuclear Medicine, Erasmus MC, 3015 GD Rotterdam, The Netherlands; (L.S.H.); (F.S.); (W.J.N.); (J.J.V.); (S.K.); (A.A.M.v.d.V.)
| | - Jacob J. Visser
- Department of Radiology and Nuclear Medicine, Erasmus MC, 3015 GD Rotterdam, The Netherlands; (L.S.H.); (F.S.); (W.J.N.); (J.J.V.); (S.K.); (A.A.M.v.d.V.)
| | - Stefan Klein
- Department of Radiology and Nuclear Medicine, Erasmus MC, 3015 GD Rotterdam, The Netherlands; (L.S.H.); (F.S.); (W.J.N.); (J.J.V.); (S.K.); (A.A.M.v.d.V.)
| | - Joost L. Boormans
- Department of Urology, Erasmus MC, 3015 GD Rotterdam, The Netherlands; (J.J.d.J.); (J.L.B.)
| | - Astrid A. M. van der Veldt
- Department of Radiology and Nuclear Medicine, Erasmus MC, 3015 GD Rotterdam, The Netherlands; (L.S.H.); (F.S.); (W.J.N.); (J.J.V.); (S.K.); (A.A.M.v.d.V.)
- Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands; (N.B.); (I.d.K.)
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Ye Z, Ning G, Li X, Koh TS, Chen H, Bai W, Qu H. Endometrial carcinoma: use of tracer kinetic modeling of dynamic contrast-enhanced MRI for preoperative risk assessment. Cancer Imaging 2022; 22:14. [PMID: 35264244 PMCID: PMC8908697 DOI: 10.1186/s40644-022-00452-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 02/24/2022] [Indexed: 01/07/2023] Open
Abstract
Background To compare two tracer kinetic models in predicting of preoperative risk types in endometrial carcinoma (EC) using DCE-MRI. Methods A prospective study of patients with EC was conducted with institutional ethics approval and written informed consent. DCE-MRI data was analyzed using the extended Tofts (ET) and the distributed parameter (DP) models. DCE parameters blood flow (F), mean transit time, blood volume (Vp), extravascular extracellular volume (Ve), permeability surface area product (PS), extraction fraction, transfer constant (Ktrans), and efflux rate (Kep) between high- and low-risk EC were compared using the Mann–Whitney test. Bland–Altman analysis was utilized to compare parameter consistency and Spearman test to assess parameter correlation. Diagnostic performance of DCE parameters was analyzed by receiver-operating characteristic curve and compared with traditional MRI assessment. Results Fifty-one patients comprised the study group. Patients with high-risk EC exhibited significantly lower Ktrans, Kep, F, Vp and PS (P < 0.001). ET-derived Ktrans and DP-derived F attained AUC of 0.92 and 0.91, respectively. Bland–Altman analysis showed that the consistency of Ve or Vp between the two models was low (P < 0.001) while Spearman test showed a strong correlation (r = 0.719, 0.871). Both Ktrans and F showed higher accuracy in predicting EC risk types than traditional MRI assessment. Conclusions Kinetic parameters derived from DCE-MRI revealed a more hypovascular microenvironment for high risk EC than to low- risk ones, providing potential imaging biomarkers in preoperative risk assessment that might improve individualized surgical planning and management of EC.
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Affiliation(s)
- Zhijun Ye
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, No.20, Section 3, Renmin South Road, Chengdu, 610041, Sichuan, China
| | - Gang Ning
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, No.20, Section 3, Renmin South Road, Chengdu, 610041, Sichuan, China.
| | - Xuesheng Li
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, No.20, Section 3, Renmin South Road, Chengdu, 610041, Sichuan, China
| | - Tong San Koh
- Department of Oncologic Imaging, National Cancer Center, Singapore, 169610, Singapore
| | - Huizhu Chen
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, No.20, Section 3, Renmin South Road, Chengdu, 610041, Sichuan, China
| | - Wanjing Bai
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, No.20, Section 3, Renmin South Road, Chengdu, 610041, Sichuan, China
| | - Haibo Qu
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, No.20, Section 3, Renmin South Road, Chengdu, 610041, Sichuan, China
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25
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[Modern tomography imaging techniques in urological diseases]. Urologe A 2022; 61:374-383. [PMID: 35262753 DOI: 10.1007/s00120-022-01792-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/08/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Radiologic imaging is important for the detection, staging and follow-up of urological tumors. Basic therapy decisions for both oncological (surgical vs. systemic therapy, e.g. in testicular cancer) and non-oncological pathologies (interventional vs. conservative therapy, e.g. for ureteral stones) depend largely on the tomographic imaging performed. Due to its almost ubiquitous availability, speed and cost-effectiveness, computed tomography (CT) plays an important role not only in the clarification of abdominal trauma and non-traumatic emergencies, but also in staging and follow-up of oncological patients. However, the level of radiation exposure, impaired renal function and allergies to iodinated contrast media limit the use of CT. Magnetic resonance imaging (MRI) can be a good alternative for many areas of application in oncological and non-oncological imaging due to its high soft tissue differentiation and functional-specific protocols but without the use of ionizing radiation. AIM In the following, the main indications of abdominal and pelvic CT and MRI in urology and their limitations are summarized. RESULTS The areas of application between CT and MRI are increasingly overlapping, since the latest developments in CT continue to further reduce radiation exposure and increase contrast information, while the speed and robustness of MRI are significantly improving at the same time.
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Michael J, Neuzil K, Altun E, Bjurlin MA. Current Opinion on the Use of Magnetic Resonance Imaging in Staging Prostate Cancer: A Narrative Review. Cancer Manag Res 2022; 14:937-951. [PMID: 35256864 PMCID: PMC8898014 DOI: 10.2147/cmar.s283299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 02/10/2022] [Indexed: 12/02/2022] Open
Abstract
Accurate staging is critical for treatment planning and prognosis in men with prostate Cancer. Prostate magnetic imaging resonance (MRI) may aid in the staging evaluation by verifying organ-confined status, assessing the status of the pelvic lymph nodes, and establishing the local extent of the tumor in patients being considered for therapy. MRI has a high specificity for diagnosing extracapsular extension, and therefore may impact the decision to perform nerve sparing prostatectomy, along with seminal vesicle invasion and lymph node metastases; however, its sensitivity remains limited. Current guidelines vary significantly regarding endorsing the use of MRI for staging locoregional disease. For high-risk prostate cancer, most guidelines recommend cross sectional imaging, including MRI, to evaluate for more extensive disease that may merit change in radiation field, extended androgen deprivation therapy, or guiding surgical planning. Although MRI offers reasonable performance characteristics to evaluate bone metastases, guidelines continue to support the use of bone scintigraphy. Emerging imaging technologies, including coupling positron emission tomography (PET) with MRI, have the potential to improve the accuracy of prostate cancer staging with the use of novel radiotracers.
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Affiliation(s)
- Jamie Michael
- University of North Carolina, School of Medicine, Chapel Hill, NC, USA
| | - Kevin Neuzil
- Department of Urology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Ersan Altun
- Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Marc A Bjurlin
- Department of Urology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Correspondence: Marc A Bjurlin, Associate Professor, Department of Urology, Lineberger Comprehensive Cancer Center, University of North Carolina, 101 Manning Drive, 2nd Floor, Chapel Hill, NC, USA, Email
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Zhang-Yin J, Montravers F, Montagne S, Hennequin C, Renard-Penna R. Diagnosis of early biochemical recurrence after radical prostatectomy or radiation therapy in patients with prostate cancer: State of the art. Diagn Interv Imaging 2022; 103:191-199. [DOI: 10.1016/j.diii.2022.02.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 02/11/2022] [Accepted: 02/13/2022] [Indexed: 12/30/2022]
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Coskun N, Cagdas B, Eroglu U, Aslan Y, Turkolmez S. The impact of 18F-fluorodeoxyglucose PET/computed tomography on clinical staging in bladder cancer. Nucl Med Commun 2022; 43:172-176. [PMID: 34783718 DOI: 10.1097/mnm.0000000000001509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
AIM To determine the impact of 18F-FDG PET/computed tomography (CT) on clinical staging in bladder cancer with comparison to conventional CT and MRI. METHODS A total of 142 patients who underwent 18F-FDG PET/CT imaging with a diagnosis of bladder cancer between 1 June 2019 and 31 December 2020 were screened retrospectively. Seventy patients who underwent diagnostic CT or MRI within 2 months before or after PET/CT were included in the study. The N and M stages determined by CT, MRI and PET/CT according to the eighth version of the TNM staging system were recorded. T-test was used to determine the levels of significant difference, and univariate logistic regression analysis was used to evaluate the impact of the T stage on nodal up-staging. RESULTS According to the PET/CT, the N stage increased in 19 patients (27.14%) and decreased in seven patients (10%). Likewise, the M stage increased in 16 patients (22.86%) and decreased in seven patients (10%). The N stage determined by PET/CT was confirmed by pathologic examination in all cases in which the two modalities were inconsistent. In muscle-invasive cases, the rate of increase in the N stage after PET/CT (36.95%) was found to be significantly higher than in that of cases without invasion (8.33%) (P = 0.011). Increasing T stage was associated with an increase in the N stage after PET/CT (odds ratio: 2.33, 95% confidence interval: 1.02-5.28, P = 0.042). CONCLUSION 18F-FDG PET/CT can potentially change the clinical stage determined by CT and MRI when used for staging in bladder cancer, and can lead to nodal up-staging particularly in cases with muscle-invasive bladder cancer.
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Affiliation(s)
| | | | | | - Yilmaz Aslan
- Department of Urology, Faculty of Medicine, University of Health Sciences
| | - Seyda Turkolmez
- Department of Nuclear Medicine, Faculty of Medicine, Ankara Yildirim Beyazit University, Ankara, Turkey
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Abstract
More than 40% of men with intermediate-risk or high-risk prostate cancer will experience a biochemical recurrence after radical prostatectomy. Clinical guidelines for the management of these patients largely focus on the use of salvage radiotherapy with or without systemic therapy. However, not all patients with biochemical recurrence will go on to develop metastases or die from their disease. The optimal pre-salvage therapy investigational workup for patients who experience biochemical recurrence should, therefore, include novel techniques such as PET imaging and genomic analysis of radical prostatectomy specimen tissue, as well as consideration of more traditional clinical variables such as PSA value, PSA kinetics, Gleason score and pathological stage of disease. In patients without metastatic disease, the only known curative intervention is salvage radiotherapy but, given the therapeutic burden of this treatment, importance must be placed on accurate timing of treatment, radiation dose, fractionation and field size. Systemic therapy also has a role in the salvage setting, both concurrently with radiotherapy and as salvage monotherapy.
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Van Damme J, Tombal B, Collette L, Van Nieuwenhove S, Pasoglou V, Gérard T, Jamar F, Lhommel R, Lecouvet FE. Comparison of 68Ga-Prostate Specific Membrane Antigen (PSMA) Positron Emission Tomography Computed Tomography (PET-CT) and Whole-Body Magnetic Resonance Imaging (WB-MRI) with Diffusion Sequences (DWI) in the Staging of Advanced Prostate Cancer. Cancers (Basel) 2021; 13:cancers13215286. [PMID: 34771449 PMCID: PMC8582508 DOI: 10.3390/cancers13215286] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 10/04/2021] [Accepted: 10/14/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary Precise staging is key for the optimal management of advanced prostate cancer. PSMA PET-CT and WB-MRI outperform standard imaging technology for staging high-risk prostate cancer, but direct comparison between both modalities is lacking. The primary endpoint of our study was to compare the diagnostic accuracy of both techniques in the detection of lymph node, bone and visceral metastases against a best valuable comparator (BVC), defined as a consensus adjudication of all lesions on the basis of baseline and follow-up imaging, biological and clinical data and histopathologic confirmation when available. Knowing the diagnostic accuracy of both next generation imaging modalities might influence the diagnostic and therapeutic strategy in prostate cancer by tailoring therapy. However, the impact on treatment and patient outcome of an improved detection of metastases has not been determined yet. Abstract Background: Prostate specific membrane antigen (PSMA) positron emission tomography computed tomography (PET-CT) and whole-body magnetic resonance imaging (WB-MRI) outperform standard imaging technology for the detection of metastasis in prostate cancer (PCa). There are few direct comparisons between both modalities. This paper compares the diagnostic accuracy of PSMA PET-CT and WB-MRI for the detection of metastasis in PCa. One hundred thirty-four patients with newly diagnosed PCa (n = 81) or biochemical recurrence after curative treatment (n = 53) with high-risk features prospectively underwent PSMA PET-CT and WB-MRI. The diagnostic accuracy of both techniques for lymph node, skeletal and visceral metastases was compared against a best valuable comparator (BVC). Overall, no significant difference was detected between PSMA PET-CT and WB-MRI to identify metastatic patients when considering lymph nodes, skeletal and visceral metastases together (AUC = 0.96 (0.92–0.99) vs. 0.90 (0.85–0.95); p = 0.09). PSMA PET-CT, however, outperformed WB-MRI in the subgroup of patients with newly diagnosed PCa for the detection of lymph node metastases (AUC = 0.96 (0.92–0.99) vs. 0.86 (0.79–0.92); p = 0.0096). In conclusion, PSMA PET-CT outperforms WB-MRI for the detection of nodal metastases in primary staging of PCa.
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Affiliation(s)
- Julien Van Damme
- Department of Urology, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, B-1200 Brussels, Belgium; (J.V.D.); (B.T.)
| | - Bertrand Tombal
- Department of Urology, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, B-1200 Brussels, Belgium; (J.V.D.); (B.T.)
| | - Laurence Collette
- International Drug Development Institute (IDDI), B-1341 Louvain-la-Neuve, Belgium;
| | - Sandy Van Nieuwenhove
- Department of Radiology, Institut de Recherche Expérimentale et Clinique (IREC-IMAG), Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, B-1200 Brussels, Belgium; (S.V.N.); (V.P.)
| | - Vassiliki Pasoglou
- Department of Radiology, Institut de Recherche Expérimentale et Clinique (IREC-IMAG), Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, B-1200 Brussels, Belgium; (S.V.N.); (V.P.)
| | - Thomas Gérard
- Department of Nuclear Medicine, Institut de Recherche Expérimentale et Clinique (IREC-MIRO), Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, B-1200 Brussels, Belgium; (T.G.); (F.J.); (R.L.)
| | - François Jamar
- Department of Nuclear Medicine, Institut de Recherche Expérimentale et Clinique (IREC-MIRO), Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, B-1200 Brussels, Belgium; (T.G.); (F.J.); (R.L.)
| | - Renaud Lhommel
- Department of Nuclear Medicine, Institut de Recherche Expérimentale et Clinique (IREC-MIRO), Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, B-1200 Brussels, Belgium; (T.G.); (F.J.); (R.L.)
| | - Frédéric E. Lecouvet
- Department of Radiology, Institut de Recherche Expérimentale et Clinique (IREC-IMAG), Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, B-1200 Brussels, Belgium; (S.V.N.); (V.P.)
- Correspondence:
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Chen HZ, Wang XR, Zhao FM, Chen XJ, Li XS, Ning G, Guo YK. The Development and Validation of a CT-Based Radiomics Nomogram to Preoperatively Predict Lymph Node Metastasis in High-Grade Serous Ovarian Cancer. Front Oncol 2021; 11:711648. [PMID: 34532289 PMCID: PMC8438232 DOI: 10.3389/fonc.2021.711648] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 08/09/2021] [Indexed: 01/04/2023] Open
Abstract
Purpose To develop and validate a radiomics model for predicting preoperative lymph node (LN) metastasis in high-grade serous ovarian cancer (HGSOC). Materials and Methods From May 2008 to January 2018, a total of 256 eligible HGSOC patients who underwent tumor resection and LN dissection were divided into a training cohort (n=179) and a test cohort (n=77) in a 7:3 ratio. A Radiomics Model was developed based on a training cohort of 179 patients. A radiomics signature (defined as the Radscore) was selected by using the random forest method. Logistics regression was used as the classifier for modeling. An Integrated Model that incorporated the Radscore and CT_reported LN status (CT_LN_report) was developed and presented as a radiomics nomogram. Its performance was determined by the area under the curve (AUC), calibration, and decision curve. The radiomics nomogram was internally tested in an independent test cohort (n=77) and a CT-LN-report negative subgroup (n=179) using the formula derived from the training cohort. Results The AUC value of the CT_LN_report was 0.688 (95% CI: 0.626, 0.759) in the training cohort and 0.717 (95% CI: 0.630, 0.804) in the test cohort. The Radiomics Model yielded an AUC of 0.767 (95% CI: 0.696, 0.837) in the training cohort and 0.753 (95% CI: 0.640, 0.866) in the test. The radiomics nomogram demonstrated favorable calibration and discrimination in the training cohort (AUC=0.821), test cohort (AUC=0.843), and CT-LN-report negative subgroup (AUC=0.82), outperforming the Radiomics Model and CT_LN_report alone. Conclusions The radiomics nomogram derived from portal phase CT images performed well in predicting LN metastasis in HGSOC and could be recommended as a new, convenient, and non-invasive method to aid in clinical decision-making.
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Affiliation(s)
- Hui-Zhu Chen
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | | | - Fu-Min Zhao
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Xi-Jian Chen
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Xue-Sheng Li
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Gang Ning
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Ying-Kun Guo
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
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Prospective comparison of simultaneous [ 68Ga]Ga-PSMA-11 PET/MR versus PET/CT in patients with biochemically recurrent prostate cancer. Eur Radiol 2021; 32:901-911. [PMID: 34374802 DOI: 10.1007/s00330-021-08140-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 05/25/2021] [Accepted: 06/12/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVES PSMA-PET has become the PET technique of choice to localise the site of biochemically recurrent prostate cancer (PCa). With hybrid PET/MRI, the advantages of MRI are added to molecular characteristic of PET. The aim of this study was to investigate the incremental value of PET/MR versus PET/CT in patients with biochemically recurrent PCa by head-to-head comparison. METHODS Thirty-four patients with biochemically recurrent PCa were prospectively included. They underwent [68Ga]Ga-PSMA-11 PET/CT, followed by simultaneous PET/MR. All PET (PETCT, PETMR), CT and MR images were evaluated for number of lesions and location. The number of lesions at specific sites was compared using Wilcoxon-sign-rank test. For PET, the maximum and mean standardised uptake values (SUVs) were calculated for each lesion compared using a two-sided paired t test. RESULTS PETCT and PETMR scans were positive in 19 and 20 patients, detecting 73 and 79 lesions respectively. All lesions detected on PETCT were also detected on PETMR. CT and MRI only were positive in 14 and 17 patients, detecting 38 and 50 lesions, respectively, which was significantly lower than PETCT and PETMR respectively. Combined interpretation showed more lesions on PET/MR than on PET/CT (88 vs 81). No significant difference in detection of presence of local recurrence nor distant metastases was found. SUVmean and SUVmax values were significantly higher on PETMR than on PETCT in local recurrence and lymph node metastases. CONCLUSIONS [68Ga]Ga-PSMA-11 PET/MR was able to detect biochemically recurrent PCa at least as accurately as PET/CT for local recurrence, lymph node metastasis and distant metastasis. KEY POINTS • PSMA PET/MRI detects the location of biochemical recurrence at least as accurately as PET/CT. • Substitution of PET/CT by PET/MRI adds sensitivity in PSMA lesion detection also in the setting of distant recurrence due to both the MR and TOF PET components.
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Rouprêt M, Pignot G, Masson-Lecomte A, Compérat E, Audenet F, Roumiguié M, Houédé N, Larré S, Brunelle S, Xylinas E, Neuzillet Y, Méjean A. [French ccAFU guidelines - update 2020-2022: bladder cancer]. Prog Urol 2021; 30:S78-S135. [PMID: 33349431 DOI: 10.1016/s1166-7087(20)30751-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE - To update French guidelines for the management of bladder cancer specifically non-muscle invasive (NMIBC) and muscle-invasive bladder cancers (MIBC). METHODS - A Medline search was achieved between 2018 and 2020, notably regarding diagnosis, options of treatment and follow-up of bladder cancer, to evaluate different references with levels of evidence. RESULTS - Diagnosis of NMIBC (Ta, T1, CIS) is based on a complete deep resection of the tumor. The use of fluorescence and a second-look indication are essential to improve initial diagnosis. Risks of both recurrence and progression can be estimated using the EORTC score. A stratification of patients into low, intermediate and high risk groups is pivotal for recommending adjuvant treatment: instillation of chemotherapy (immediate post-operative, standard schedule) or intravesical BCG (standard schedule and maintenance). Cystectomy is recommended in BCG-refractory patients. Extension evaluation of MIBC is based on contrast-enhanced pelvic-abdominal and thoracic CT-scan. Multiparametric MRI can be an alternative. Cystectomy associated with extended lymph nodes dissection is considered the gold standard for non-metastatic MIBC. It should be preceded by cisplatin-based neoadjuvant chemotherapy in eligible patients. An orthotopic bladder substitution should be proposed to both male and female patients with no contraindication and in cases of negative frozen urethral samples; otherwise transileal ureterostomy is recommended as urinary diversion. All patients should be included in an Early Recovery After Surgery (ERAS) protocol. For metastatic MIBC, first-line chemotherapy using platin is recommended (GC or MVAC), when performans status (PS <1) and renal function (creatinine clearance >60 mL/min) allow it (only in 50% of cases). In second line treatment, immunotherapy with pembrolizumab demonstrated a significant improvement in overall survival. CONCLUSION - These updated French guidelines will contribute to increase the level of urological care for the diagnosis and treatment of patients diagnosed with NMIBC and MIBC.
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Affiliation(s)
- M Rouprêt
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Sorbonne Université, GRC n° 5, Predictive onco-uro, AP-HP, hôpital Pitié-Salpêtrière, 47-83, boulevard de l'Hôpital, 75013 Paris, France.
| | - G Pignot
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, Institut Paoli-Calmettes, 232, boulevard de Sainte-Marguerite, 13009 Marseille, France
| | - A Masson-Lecomte
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, hôpital Saint-Louis, Université Paris-Diderot, 10, avenue de Verdun, 75010 Paris, France
| | - E Compérat
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'anatomie pathologique, hôpital Tenon, HUEP, Sorbonne Université, GRC n° 5, ONCOTYPE-URO, 4, rue de la Chine, 75020 Paris, France
| | - F Audenet
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, hôpital Foch, Université de Versailles - Saint-Quentin-en-Yvelines, 40, rue Worth, 92150 Suresnes, France
| | - M Roumiguié
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Département d'urologie, CHU Rangueil, 1, avenue du Professeur-Jean-Poulhès, 31400 Toulouse, France
| | - N Houédé
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Département d'oncologie médicale, CHU Carémeau, Université de Montpellier, rue du Professeur-Robert-Debré, 30900 Nîmes, France
| | - S Larré
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, CHU de Reims, rue du Général Koenig, 51100 Reims, France
| | - S Brunelle
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service de radiologie, Institut Paoli-Calmettes, 232, boulevard de Sainte-Marguerite, 13009 Marseille, France
| | - E Xylinas
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, hôpital Bichat-Claude-Bernard, Assistance publique-Hôpitaux de Paris, Université Paris-Descartes, 46, rue Henri-Huchard, 75018 Paris, France
| | - Y Neuzillet
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, CHU de Reims, rue du Général Koenig, 51100 Reims, France
| | - A Méjean
- Comité de cancérologie de l'Association française d'urologie, groupe vessie, Maison de l'urologie, 11, rue Viète, 75017 Paris, France; Service d'urologie, hôpital européen Georges-Pompidou, AP-HP, Université de Paris, 20, rue Leblanc, 75015 Paris, France
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Jeong H, Park KJ, Lee YJ, Kim HD, Kim JH, Yoon S, Hong B, Lee JL. The Prognosis and the Role of Adjuvant Chemotherapy for Node-Positive Bladder Cancer Treated with Neoadjuvant Chemotherapy Followed by Surgery. Cancer Res Treat 2021; 54:226-233. [PMID: 33957019 PMCID: PMC8756114 DOI: 10.4143/crt.2021.365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 05/04/2021] [Indexed: 11/28/2022] Open
Abstract
Purpose This study aims to evaluate the prognosis of pathologically node-positive bladder cancer after neoadjuvant chemotherapy, the role of adjuvant chemotherapy in these patients, and the value of preoperative clinical evaluation for lymph node metastases. Materials and Methods Patients who received neoadjuvant chemotherapy followed by partial/radical cystectomy and had pathologically confirmed lymph node metastases between January 2007 and December 2019 were identified and analyzed. Results A total of 53 patients were included in the study. The median age was 61 years (range, 34 to 81 years) with males comprising 86.8%. Among the 52 patients with post-neoadjuvant/pre-operative computed tomography results, only 33 patients (63.5%) were considered positive for lymph node metastasis. Sixteen patients (30.2%) received adjuvant chemotherapy (AC group), and 37 patients did not (no AC group). With the median follow-up duration of 67.7 months, the median recurrence-free survival (RFS) and the median overall survival (OS) was 8.5 months and 16.2 months, respectively. The 2-year RFS and OS rates were 23.3% and 34.6%, respectively. RFS and OS did not differ between the AC group and no AC group (median RFS, 8.8 months vs. 6.8 months, p=0.772; median OS, 16.1 months vs. 16.3 months, p=0.479). Thirty-eight patients (71.7%) experienced recurrence. Distant metastases were the dominant pattern of failure in both the AC group (91.7%) and no AC group (76.9%). Conclusion Patients with lymph node-positive disease after neoadjuvant chemotherapy followed by surgery showed high recurrence rates with limited survival outcomes. Little benefit was observed with the addition of adjuvant chemotherapy.
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Affiliation(s)
- Hyehyun Jeong
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Kye Jin Park
- Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Yong-Jun Lee
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.,Department of Internal Medicine Division of Oncology, Haeundae Paik Hospital Cancer Center, Inje University College of Medicine, Busan, Korea
| | - Hyung-Don Kim
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jwa Hoon Kim
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.,Division of Oncology/Hematology, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Shinkyo Yoon
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Bumsik Hong
- Department of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jae Lyun Lee
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
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35
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Mahjoub S, Hennecken M, Pfister D, Hartmann F, John P, Schmautz M, Heidenreich A. Preoperative Parameters to Predict the Development of Symptomatic Lymphoceles after Radical Prostatectomy. Urol Int 2021; 106:20-27. [PMID: 33951669 DOI: 10.1159/000514041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 12/22/2020] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Symptomatic lymphoceles (SLs) represent the most common complication after radical prostatectomy (RP) and pelvic lymph node dissection (PLND). To date, preoperative risk factors are missing. METHODS Clinical and pathological data of 592 patients who underwent RP and PLND were evaluated. Included parameters were age, BMI, prostate-specific antigen (PSA), PSA ratio, PSA density, number of resected and/or positive lymph nodes, previous abdominal surgery/pelvic radiotherapy, anticoagulation, and surgical approach. RESULTS Fifty-nine patients (10%) developed an SL, of which 57 underwent open retropubic radical prostatectomy (RRP) and 2 underwent robot-assisted radical prostatectomy (RARP). Multivariate logistic regression revealed the following parameters as statistically significant risk factors: PSA (odds ratio [OR] = 2.23; 95% CI [1.25; 5.04], p = 0.04), number of resected lymph nodes (OR = 1.47; 95% CI [1.10; 1.97], p < 0.01), previous abdominal surgery (OR = 2.58; 95% CI [1.38; 4.91], p < 0.01), and surgical approach (OR = 0.08; 95% CI [0.01; 0.27], p < 0.01). Previous oral anticoagulation showed almost statistically significant results (OR = 2.39 [0.92; 5.51], p = 0.05). CONCLUSION The risk for SL might be predictable considering preoperative risk factors such as PSA, previous abdominal surgery and anticoagulation. To avoid SL, RARP should be the procedure of choice. If RRP is considered, patients at risk for SL may benefit from peritoneal fenestration during RP.
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Affiliation(s)
- Samy Mahjoub
- Department of Urology, Uro-Oncology, Robot-assisted and Specialized Urologic Surgery, Cologne University Hospital, Cologne, Germany
| | - Marius Hennecken
- Department of Urology, Uro-Oncology, Robot-assisted and Specialized Urologic Surgery, Cologne University Hospital, Cologne, Germany
| | - David Pfister
- Department of Urology, Uro-Oncology, Robot-assisted and Specialized Urologic Surgery, Cologne University Hospital, Cologne, Germany
| | - Florian Hartmann
- Department of Urology, Uro-Oncology, Robot-assisted and Specialized Urologic Surgery, Cologne University Hospital, Cologne, Germany
| | - Patricia John
- Department of Urology, Uro-Oncology, Robot-assisted and Specialized Urologic Surgery, Cologne University Hospital, Cologne, Germany
| | - Maximilian Schmautz
- Department of Urology, Uro-Oncology, Robot-assisted and Specialized Urologic Surgery, Cologne University Hospital, Cologne, Germany
| | - Axel Heidenreich
- Department of Urology, Uro-Oncology, Robot-assisted and Specialized Urologic Surgery, Cologne University Hospital, Cologne, Germany
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36
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Clinically Lymph Node Positive Prostate Cancer: At the Intersection of Focal and Systemic Disease Control. ACTA ACUST UNITED AC 2021; 26:53-57. [PMID: 31977386 DOI: 10.1097/ppo.0000000000000421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Clinically node-positive prostate cancer is often found at the time of diagnosis by cross-sectional imaging and remains poorly understood. Advanced imaging modalities such as magnetic resonance imaging nanoparticles or positron emission tomography-based molecular imaging stand to rapidly change the field and hopefully will bring better diagnostic clarity. This will allow for prospective clinical trials using radiographic, clinical, or molecular parameters to establish who may benefit from both localized and systemic treatment intensification and who may avoid overtreatment. Recent advances in metastatic hormone-sensitive disease may offer clues, but direct studies for nodal disease patients remain.
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37
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Céspedes MS, Radtke JP, Cathelineau X, Sanchez-Salas R. Prostate specific membrane antigen (PSMA) and Prostate Cancer Staging: is our current conventional staging obsolete? Int Braz J Urol 2021; 47:1243-1249. [PMID: 33861056 PMCID: PMC8486444 DOI: 10.1590/s1677-5538.ibju.2020.0997] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 11/07/2020] [Indexed: 12/01/2022] Open
Affiliation(s)
| | - Jan Philipp Radtke
- Department of Urology, University Hospital Essen, Essen, Germany.,German Cancer Consortium (DKTK)-University Hospital Essen, Essen, Germany.,Department of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Xavier Cathelineau
- Department of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
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38
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Tan JW, Velaga J, Yuen JSP, Cheng XM, Law YM. Periprostatic schwannoma mimicking metastatic lymphadenopathy in a case of multifocal prostate adenocarcinoma. J Radiol Case Rep 2021; 15:9-18. [PMID: 34267866 DOI: 10.3941/jrcr.v15i3.4210] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Schwannomas of the prostate are a rare entity and usually diagnosed incidentally following surgical management of presumed benign prostate hyperplasia or prostate adenocarcinoma. We present a case of sporadic periprostatic schwannoma diagnosed in conjunction with multifocal prostate adenocarcinoma on pre-operative multiparametric magnetic resonance imaging.
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Affiliation(s)
- Jia Wei Tan
- Department of Diagnostic Radiology, Singapore General Hospital, Singapore
| | - Jyothirmayi Velaga
- Department of Diagnostic Radiology, Singapore General Hospital, Singapore
| | | | - Xin Min Cheng
- Department of Anatomical Pathology, Singapore General Hospital, Singapore
| | - Yan Mee Law
- Department of Diagnostic Radiology, Singapore General Hospital, Singapore
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39
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Hernes E, Revheim ME, Hole KH, Tulipan AJ, Strømme H, Lilleby W, Seierstad T. Prostate-Specific Membrane Antigen PET for Assessment of Primary and Recurrent Prostate Cancer with Histopathology as Reference Standard: A Systematic Review and Meta-Analysis. PET Clin 2021; 16:147-165. [PMID: 33648661 DOI: 10.1016/j.cpet.2020.12.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Prostate-specific membrane antigen PET is a promising diagnostic tool in prostate cancer. The gold standard for the detection of prostate tumor and lymph node metastases is histopathology. The aim of the present review was to investigate accuracy measures of 68Ga/18F-labeled prostate-specific membrane antigen PET tracers in primary and recurrent prostate cancer with systematic sector-based histopathology as the reference standard. A systematic literature search was performed and 34 studies were included. Overall, prostate-specific membrane antigen PET showed high specificity, but variable sensitivity to localize known prostate cancer and detect pelvic lymph node metastases.
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Affiliation(s)
- Eivor Hernes
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, P.O. Box 4956 Nydalen, 0424 Oslo, Norway.
| | - Mona-Elisabeth Revheim
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, P.O. Box 4956 Nydalen, 0424 Oslo, Norway; Institute of Clinical Medicine, University of Oslo, P.O. Box 1171 Blindern, 0318 Oslo, Norway
| | - Knut Håkon Hole
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, P.O. Box 4956 Nydalen, 0424 Oslo, Norway; Institute of Clinical Medicine, University of Oslo, P.O. Box 1171 Blindern, 0318 Oslo, Norway
| | - Andreas Julius Tulipan
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, P.O. Box 4956 Nydalen, 0424 Oslo, Norway; Institute of Clinical Medicine, University of Oslo, P.O. Box 1171 Blindern, 0318 Oslo, Norway
| | - Hilde Strømme
- Library of Medicine and Science, University of Oslo, Sognsvannsveien 20, 0372 Oslo, Norway
| | - Wolfgang Lilleby
- Department of Oncology, Oslo University Hospital, P.O. Box 4953 Nydalen, 0424 Oslo, Norway
| | - Therese Seierstad
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, P.O. Box 4956 Nydalen, 0424 Oslo, Norway
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Seierstad T, Hole KH, Tulipan AJ, Strømme H, Lilleby W, Revheim ME, Hernes E. 18F-Fluciclovine PET for Assessment of Prostate Cancer with Histopathology as Reference Standard: A Systematic Review. PET Clin 2021; 16:167-176. [PMID: 33648662 DOI: 10.1016/j.cpet.2020.12.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The PET tracer 18F-fluciclovine (Axumin) was recently approved in the United States and Europe for men with suspected prostate cancer recurrence following prior treatment. This article summarizes studies where systematic sector-based histopathology was used as reference standard to assess the diagnostic accuracy of the tracer 18F-fluciclovine PET in patients with prostate cancer.
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Affiliation(s)
- Therese Seierstad
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, P.O. Box 4956 Nydalen, 0424 Oslo, Norway.
| | - Knut Håkon Hole
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, P.O. Box 4956 Nydalen, 0424 Oslo, Norway; Institute of Clinical Medicine, University of Oslo, P.O. Box 1171 Blindern, 0318 Oslo, Norway
| | - Andreas Julius Tulipan
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, P.O. Box 4956 Nydalen, 0424 Oslo, Norway; Institute of Clinical Medicine, University of Oslo, P.O. Box 1171 Blindern, 0318 Oslo, Norway
| | - Hilde Strømme
- Library of Medicine and Science, University of Oslo, Sognsvannsveien 20, 0372 Oslo, Norway
| | - Wolfgang Lilleby
- Department of Oncology, Oslo University Hospital, P.O. Box 4953 Nydalen, 0424 Oslo, Norway
| | - Mona-Elisabeth Revheim
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, P.O. Box 4956 Nydalen, 0424 Oslo, Norway; Institute of Clinical Medicine, University of Oslo, P.O. Box 1171 Blindern, 0318 Oslo, Norway
| | - Eivor Hernes
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, P.O. Box 4956 Nydalen, 0424 Oslo, Norway
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Abouelkheir RT, Abdelhamid A, Abou El-Ghar M, El-Diasty T. Imaging of Bladder Cancer: Standard Applications and Future Trends. MEDICINA (KAUNAS, LITHUANIA) 2021; 57:medicina57030220. [PMID: 33804350 PMCID: PMC8000909 DOI: 10.3390/medicina57030220] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 02/20/2021] [Accepted: 02/23/2021] [Indexed: 12/24/2022]
Abstract
The evolution in imaging has had an increasing role in the diagnosis, staging and follow up of bladder cancer. Conventional cystoscopy is crucial in the diagnosis of bladder cancer. However, a cystoscopic procedure cannot always depict carcinoma in situ (CIS) or differentiate benign from malignant tumors prior to biopsy. This review will discuss the standard application, novel imaging modalities and their additive role in patients with bladder cancer. Staging can be performed with CT, but distinguishing between T1 and T2 BCa (bladder cancer) cannot be assessed. MRI can distinguish muscle-invasive from non-muscle-invasive tumors with accurate local staging. Vesical Imaging-Reporting and Data System (VI-RADS) score is a new diagnostic modality used for the prediction of tumor aggressiveness and therapeutic response. Bone scintigraphy is recommended in patients with muscle-invasive BCa with suspected bony metastases. CT shows low sensitivity for nodal staging; however, PET (Positron Emission Tomography)/CT is superior and highly recommended for restaging and determining therapeutic effect. PET/MRI is a new imaging technique in bladder cancer imaging and its role is promising. Texture analysis has shown significant steps in discriminating low-grade from high-grade bladder cancer. Radiomics could be a reliable method for quantitative assessment of the muscle invasion of bladder cancer.
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42
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Management of Clinically Regional Node-Positive Urothelial Carcinoma of the Bladder. Curr Oncol Rep 2021; 23:24. [PMID: 33559760 DOI: 10.1007/s11912-021-01018-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/11/2021] [Indexed: 12/16/2022]
Abstract
PURPOSE OF REVIEW Clinically regional node-positive (cN+) urothelial carcinoma of the bladder requires a multi-modal management approach amidst growing recognition that it represents a spectrum of disease. Herein, we review the contemporary evidence for the natural history, evaluation, and management of clinically regional node-positive urothelial carcinoma of the bladder, highlighting recent changes in lymph node staging. RECENT FINDINGS Despite advances in techniques, cross-sectional imaging remains relatively insensitive for the detection of lymph node metastases. Recent changes to nodal staging that distinguish between cN1, cN2-3, and non-regional lymph node metastases reflect an increasing understanding that node-positive disease is heterogeneous and its management must be individualized according to nodal staging. Systemic therapy remains the initial management strategy, either alone or in conjunction with radiotherapy, with choice and sequencing of agents extrapolated from studies of metastatic disease. Consolidative radical cystectomy is an option for patients with disease response to upfront systemic therapy, and several series demonstrate a subset of patients with favorable oncologic outcomes. The comparative effectiveness of radiotherapy and radical cystectomy as local therapy remains an important evidence gap. Future studies that identify predictive biomarkers will help inform optimal choice of systemic therapy. The management of clinically regional node-positive disease requires a multimodal approach comprising both systemic and local therapy, tailored to the patient and to disease response. While choice of systemic therapy will be informed by ongoing studies in patients with metastatic disease, including the elucidation of predictive biomarkers, the comparative effectiveness of local therapies remains an important evidence gap.
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Tseng JR, Yu KJ, Liu FY, Yang LY, Hong JH, Yen TC, Pang ST, Wang LJ. Comparison between 68Ga-PSMA-11 PET/CT and multiparametric magnetic resonance imaging in patients with biochemically recurrent prostate cancer following robot-assisted radical prostatectomy. J Formos Med Assoc 2021; 120:688-696. [DOI: 10.1016/j.jfma.2020.07.029] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 06/13/2020] [Accepted: 07/19/2020] [Indexed: 12/13/2022] Open
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Van Nieuwenhove S, Van Damme J, Padhani AR, Vandecaveye V, Tombal B, Wuts J, Pasoglou V, Lecouvet FE. Whole-body magnetic resonance imaging for prostate cancer assessment: Current status and future directions. J Magn Reson Imaging 2020; 55:653-680. [PMID: 33382151 DOI: 10.1002/jmri.27485] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 12/08/2020] [Accepted: 12/08/2020] [Indexed: 12/20/2022] Open
Abstract
Over the past decade, updated definitions for the different stages of prostate cancer and risk for distant disease, along with the advent of new therapies, have remarkably changed the management of patients. The two expectations from imaging are accurate staging and appropriate assessment of disease response to therapies. Modern, next-generation imaging (NGI) modalities, including whole-body magnetic resonance imaging (WB-MRI) and nuclear medicine (most often prostate-specific membrane antigen [PSMA] positron emission tomography [PET]/computed tomography [CT]) bring added value to these imaging tasks. WB-MRI has proven its superiority over bone scintigraphy (BS) and CT for the detection of distant metastasis, also providing reliable evaluations of disease response to treatment. Comparison of the effectiveness of WB-MRI and molecular nuclear imaging techniques with regard to indications and the definition of their respective/complementary roles in clinical practice is ongoing. This paper illustrates the evolution of WB-MRI imaging protocols, defines the current state-of-the art, and highlights the latest developments and future challenges. The paper presents and discusses WB-MRI indications in the care pathway of men with prostate cancer in specific key situations: response assessment of metastatic disease, "all in one" cancer staging, and oligometastatic disease.
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Affiliation(s)
- Sandy Van Nieuwenhove
- Department of Radiology and Medical Imaging, Cliniques Universitaires Saint-Luc, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium
| | - Julien Van Damme
- Department of Urology, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Anwar R Padhani
- Mount Vernon Cancer Centre, Mount Vernon Hospital, London, UK
| | - Vincent Vandecaveye
- Department of Radiology and Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Bertrand Tombal
- Department of Urology, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Joris Wuts
- Department of Radiology and Medical Imaging, Cliniques Universitaires Saint-Luc, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium.,Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel, Brussels, Belgium
| | - Vassiliki Pasoglou
- Department of Radiology and Medical Imaging, Cliniques Universitaires Saint-Luc, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium
| | - Frederic E Lecouvet
- Department of Radiology and Medical Imaging, Cliniques Universitaires Saint-Luc, Institut de Recherche Expérimentale et Clinique, Université Catholique de Louvain, Brussels, Belgium
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Utilization of imaging for staging in bladder cancer: is there a role for MRI or PET-computed tomography? Curr Opin Urol 2020; 30:377-386. [PMID: 32168196 DOI: 10.1097/mou.0000000000000743] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
PURPOSE OF REVIEW Accurate staging of bladder cancer is essential to guide appropriate management. In this review, we discuss the principles, applications and performance of multiparametric MRI (mpMRI) and PET-computer tomography (PET-CT) for local and distant staging of bladder cancer. RECENT FINDINGS Bladder mpMRI has a high diagnostic performance in local staging of bladder cancer, superior to other imaging modalities. It can accurately differentiate muscle invasive bladder cancer (MIBC) from non-MIBC (NMIBC), as well as ≤T2 from ≥T3 stages. mpMRI can be used to assess pelvic lymph nodes, although its sensitivity is relatively low. For the assessment of the upper urinary tract, CT urography is the imaging modality of choice. magnetic resonance urography is a viable alternative to CT in selected cases. Although PET-CT is accurate for nodal and distant staging of bladder cancer, there is no clear evidence on its superior diagnostic performance compared with contrast-enhanced CT. SUMMARY mpMRI is the most accurate imaging modality for local staging of bladder cancer, capable to accurately distinguish MIBC from NMIBC. Nodal and distant staging relies primarily on contrast-enhanced CT.
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Whole-body magnetic resonance imaging (WB-MRI) reporting with the METastasis Reporting and Data System for Prostate Cancer (MET-RADS-P): inter-observer agreement between readers of different expertise levels. Cancer Imaging 2020; 20:77. [PMID: 33109268 PMCID: PMC7590732 DOI: 10.1186/s40644-020-00350-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 09/24/2020] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND The METastasis Reporting and Data System for Prostate Cancer (MET-RADS-P) guidelines are designed to enable reproducible assessment in detecting and quantifying metastatic disease response using whole-body magnetic resonance imaging (WB-MRI) in patients with advanced prostate cancer (APC). The purpose of our study was to evaluate the inter-observer agreement of WB-MRI examination reports produced by readers of different expertise when using the MET-RADS-P guidelines. METHODS Fifty consecutive paired WB-MRI examinations, performed from December 2016 to February 2018 on 31 patients, were retrospectively examined to compare reports by a Senior Radiologist (9 years of experience in WB-MRI) and Resident Radiologist (after a 6-months training) using MET-RADS-P guidelines, for detection and for primary/dominant and secondary response assessment categories (RAC) scores assigned to metastatic disease in 14 body regions. Inter-observer agreement regarding RAC score was evaluated for each region by using weighted-Cohen's Kappa statistics (K). RESULTS The number of metastatic regions reported by the Senior Radiologist (249) and Resident Radiologist (251) was comparable. For the primary/dominant RAC pattern, the agreement between readers was excellent for the metastatic findings in cervical, dorsal, and lumbosacral spine, pelvis, limbs, lungs and other sites (K:0.81-1.0), substantial for thorax, retroperitoneal nodes, other nodes and liver (K:0.61-0.80), moderate for pelvic nodes (K:0.56), fair for primary soft tissue and not assessable for skull due to the absence of findings. For the secondary RAC pattern, agreement between readers was excellent for the metastatic findings in cervical spine (K:0.93) and retroperitoneal nodes (K:0.89), substantial for those in dorsal spine, pelvis, thorax, limbs and pelvic nodes (K:0.61-0.80), and moderate for lumbosacral spine (K:0.44). CONCLUSIONS We found inter-observer agreement between two readers of different expertise levels to be excellent in bone, but mixed in other body regions. Considering the importance of bone metastases in patients with APC, our results favor the use of MET-RADS-P in response to the growing clinical need for monitoring of metastasis in these patients.
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Jadvar H, Ballas LK, Choyke PL, Fanti S, Gulley JL, Herrmann K, Hope TA, Klitzke AK, Oldan JD, Pomper MG, Rowe SP, Subramaniam RM, Taneja SS, Vargas HA, Ahuja S. Appropriate Use Criteria for Imaging Evaluation of Biochemical Recurrence of Prostate Cancer After Definitive Primary Treatment. J Nucl Med 2020; 61:552-562. [PMID: 32238495 DOI: 10.2967/jnumed.119.240929] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Accepted: 12/12/2019] [Indexed: 12/11/2022] Open
Affiliation(s)
- Hossein Jadvar
- Society of Nuclear Medicine and Molecular Imaging, Reston, Virginia
| | - Leslie K Ballas
- American Society for Radiation Oncology, Arlington, Virginia
| | - Peter L Choyke
- American Society of Clinical Oncology, Alexandria, Virginia
| | - Stefano Fanti
- European Association of Nuclear Medicine, Vienna, Austria
| | - James L Gulley
- American College of Physicians, Philadelphia, Pennsylvania
| | - Ken Herrmann
- European Association of Nuclear Medicine, Vienna, Austria
| | - Thomas A Hope
- Society of Nuclear Medicine and Molecular Imaging, Reston, Virginia
| | | | - Jorge D Oldan
- Society of Nuclear Medicine and Molecular Imaging, Reston, Virginia.,American Society of Clinical Oncology, Alexandria, Virginia
| | | | - Steven P Rowe
- Society of Nuclear Medicine and Molecular Imaging, Reston, Virginia
| | - Rathan M Subramaniam
- American College of Nuclear Medicine, Reston, Virginia.,American College of Radiology, Reston, Virginia; and
| | - Samir S Taneja
- American Urological Association, Linthicum Heights, Maryland
| | | | - Sukhjeet Ahuja
- Society of Nuclear Medicine and Molecular Imaging, Reston, Virginia
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The Role of Imaging in Bladder Cancer Diagnosis and Staging. Diagnostics (Basel) 2020; 10:diagnostics10090703. [PMID: 32948089 PMCID: PMC7555625 DOI: 10.3390/diagnostics10090703] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 09/02/2020] [Accepted: 09/10/2020] [Indexed: 01/23/2023] Open
Abstract
Bladder cancer (BC) is the most common cancer of the urinary tract in the United States. Imaging plays a significant role in the management of patients with BC, including the locoregional staging and evaluation for distant metastatic disease, which cannot be assessed at the time of cystoscopy and biopsy/resection. We aim to review the current role of cross-sectional and molecular imaging modalities for the staging and restaging of BC and the potential advantages and limitations of each imaging modality. CT is the most widely available and frequently utilized imaging modality for BC and demonstrates good performance for the detection of nodal and visceral metastatic disease. MRI offers potential value for the locoregional staging and evaluation of muscular invasion of BC, which is critically important for prognostication and treatment decision-making. FDG-PET/MRI is a novel hybrid imaging modality combining the advantages of both MRI and FDG-PET/CT in a single-setting comprehensive staging examination and may represent the future of BC imaging evaluation.
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Colvin SD, Cason DE, Galgano SJ, Triche BL, Gordetsky J, Rais-Bahrami S, Porter KK. Fusion of high B-value diffusion-weighted and T2-weighted MR images increases sensitivity for identification of extraprostatic disease in prostate cancer. Clin Imaging 2020; 68:202-209. [PMID: 32892105 DOI: 10.1016/j.clinimag.2020.08.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Revised: 08/18/2020] [Accepted: 08/24/2020] [Indexed: 11/16/2022]
Abstract
PURPOSE To evaluate whether fusion of high b-value diffusion-weighted imaging (DWI) and T2-weighted imaging (T2WI) increases radiologists' ability to detect pathologic features responsible for upstaging in prostate cancer patients prior to radical prostatectomy (RP). BASIC PROCEDURES This was a retrospective study including 103 patients who underwent RP and a prostate MRI performed at 3T. High b-value DWI and T2WI were fused and interpreted by three radiologists with different degrees of experience. Prior to and after fusion, readers answered questionnaires about cancer presence, extraprostatic extension (EPE), seminal vesicle (SV) invasion, lymph node (LN) involvement, and reader confidence. Pathology reports served as the reference standard. MAIN FINDINGS High b-value DWI-T2WI fusion increased sensitivity for detection of EPE from 65.6% to 77.4% (p < 0.05), SV invasion from 40.5% to 48.8% (p < 0.05), and LN metastasis by 23.8% to 44.4% (p < 0.05). Readers' confidence significantly improved with the use of fusion imaging. Across all readers, confidence of cancer detection increased by 12.5% (p < 0.05), EPE by 14.7% (p < 0.05), SV invasion by 8.1% (p < 0.05), and LN metastasis by 2.5% (p < 0.05) using Wilcoxon signed rank test. PRINCIPAL CONCLUSIONS Fusion overlay of high b-value DWI and T2WI increases sensitivity for detection of extraprostatic disease resulting in upstaging at the time of RP.
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Affiliation(s)
- Stephanie D Colvin
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, United States of America.
| | - Daniel E Cason
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, United States of America
| | - Samuel J Galgano
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, United States of America.
| | - Benjamin L Triche
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, United States of America
| | - Jennifer Gordetsky
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States of America.
| | - Soroush Rais-Bahrami
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, United States of America; Department of Urology, University of Alabama at Birmingham, Birmingham, AL, United States of America.
| | - Kristin K Porter
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AL, United States of America.
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